Truace
Subscribe
The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 934 sourced gains and 771 sourced problems, averaging 68 and 66 on the index score. Readers have logged 22 public signals on the Pulse, which is kept apart and never counted as evidence.

934 gains
771 problems
Every sourced claim in the Index, one square each, shaded by the strength of its evidence. High Moderate Emerging

Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.

1,705 results
Show filters and sorting

Download every matching row, not just this page:Export CSVExport JSON

AI gains · 934

253
PolicyStableHigh evidence · 4 sources

Higher critical thinking in AI use was associated with better detection of inaccurate information during a GPT-powered chatbot interaction, including use of more verification strategies.

By May 2026, researchers had developed and validated a 13-item critical thinking in AI use scale across six studies totaling 1341 participants. The work defined the construct as verifying AI-generated information, understanding how models work and fail, and reflecting on implications of reliance, and confirmed a structure of Verification, Motivation, and Reflection.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0136

70Index score
254
EducationStableHigh evidence · 5 sources

University students reported that AI tools helped them complete problem-solving, geometry tasks and more complex mathematical activities and improve learning strategies when used appropriately.

Researchers surveyed 853 university students from Melilla, Ceuta and Granada in 2026 with a validated questionnaire to assess whether AI is perceived as valid and reliable for mathematics teaching, analyzing responses with factor analysis and multivariate analysis of variance by gender, age and socioeconomic status.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0135

70Index score
255
LaborStableHigh evidence · 5 sources

US workers would gain workplace protection from AI through union-backed policies requiring a human to remain the final decision maker on issues affecting individuals, with broad survey support for such rules.

On 2026-05-12, The Guardian reported on a new poll released by the AFL-CIO, the largest federation of labor unions in the US. The poll found overwhelming support among US workers for pro-worker policies on artificial intelligence, including a specific proposal that a human be the final decision maker on issues affecting individuals, with 95% support for that requirement and more than nine out of ten supporting union-backed AI policies generally.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
82

Updated Jul 12, 2026 · TRV-2026-0091

70Index score
256
ScienceRisingHigh evidence · 2 sources

Artificial neural networks have achieved practical deployment for pattern recognition tasks within manufacturing industries.

The source is a review of artificial neural network applications to pattern recognition. It describes an early era of simplified ANN use that expanded into multiple domains and reports progress surveyed in the literature, while highlighting persistent technical obstacles that prompted a call for state-of-the-art updates.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
99
Recency 10%
82

Updated Jul 12, 2026 · TRV-2026-0066

70Index score

AI problems · 771

253
HealthStableModerate evidence · 1 source

CT, MRI, and FDG-PET/CT-based AI/radiomics models for oropharyngeal squamous cell carcinoma lack external validation, calibration, transparency, and nodal coverage, precluding safe clinical use to guide HPV-related treatment deintensification.

A TRIPOD+AI scoping review of 61 studies examined AI and radiomics applied to CT, MRI, and FDG-PET/CT for histologically confirmed oropharyngeal squamous cell carcinoma, focusing on HPV status prediction and treatment deintensification. CT was the dominant modality, manual segmentation and handcrafted radiomics with machine learning were most common, and HPV models reported AUCs from 0.65 to 0.95.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
93

Updated Sep 7, 2026 · TRV-2026-1006

68Index score
254
LaborStableModerate evidence · 1 source

AI exposure concentrates in cognitively intense occupational clusters, creating multi-dimensional vulnerability that varies with job structure and buffering capacity.

Researchers analyzed 664 U.S. occupations across 128 skill dimensions, using K-means clustering to identify five distinct groups and scoring each for AI Exposure via AIOE and for protective job features via PBI, with PCA to examine how exposure and buffering relate to skill composition.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
93

Updated Sep 7, 2026 · TRV-2026-1004

68Index score
255
HealthStableModerate evidence · 1 source

Mistral-NeMo failed to classify CPT codes accurately when billing descriptions were not provided, showing dependence on contextual information.

A peer-reviewed study tested the Mistral-NeMo language model on 1000 operative notes from 177 providers to verify Current Procedural Terminology codes for lower-extremity orthopaedic surgery. When CPT billing descriptions were included in the prompt, the model correctly identified 90% of true codes and rejected 99.80% of incorrect codes.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
93

Updated Sep 7, 2026 · TRV-2026-1003

68Index score
256
HealthStableModerate evidence · 1 source

Machine learning-informed toxicology analysis indicates 6PPD-quinone exposure increases IBD risk in human colon epithelial cells by downregulating NR1H4, causing lipid and cholesterol accumulation, mitochondrial dysfunction, and elevated IL-6, TNF-alpha, and IL-8.

Researchers used network toxicology, multi-model machine learning, molecular docking, and in vitro experiments in human intestinal epithelial cells to probe the tire-derived pollutant 6PPD-quinone. The workflow identified 60 overlapping 6PPD-Q-IBD targets and prioritized six core genes, with NR1H4 as a key mediator that binds strongly to 6PPD-Q.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
93

Updated Sep 6, 2026 · TRV-2026-0998

68Index score

Recomputed live from the record · Oct 12, 2026, 8:17 AM