{"id":"W4414930846","doi":"10.1161/circulationaha.125.074325","title":"The Transparent Reporting and Evaluation of Artificial Intelligence Models (TRUE-AIM) Report Card: A Quality Assurance Initiative of the American Heart Association Journals to Promote High-Quality, Reproducible Artificial Intelligence Research","year":2025,"lang":"en","type":"review","venue":"Circulation","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Calgary","funders":"","keywords":"Quality assurance; Association (psychology); Artificial heart; Quality (philosophy); MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3025024,0.001329556,0.00458815,0.01116634,0.001736316,0.01081603,0.006913561,0.005867677,0.002639857],"category_scores_gemma":[0.4238445,0.001237576,0.005032614,0.009573463,0.004002946,0.00542631,0.005517717,0.01242782,0.001793888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006335126,"about_ca_system_score_gemma":0.08177052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007734206,"about_ca_topic_score_gemma":0.006391139,"domain_scores_codex":[0.7472748,0.1327308,0.04708415,0.003553692,0.06693988,0.002416681],"domain_scores_gemma":[0.4320168,0.2799389,0.09394469,0.04194632,0.143297,0.00885633],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005580946,0.0002476896,0.001782549,0.05764022,0.001605522,0.0001040188,0.0007242089,0.0004432317,0.001043761,0.02652672,0.1813248,0.7279993],"study_design_scores_gemma":[0.0010563,0.0006418132,0.008782307,0.1171299,0.003437605,0.0004104886,0.0004987881,0.00193682,0.00341819,0.01984874,0.8425537,0.0002854087],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.002787414,0.7253968,0.07412786,0.1228541,0.02791428,0.01802476,0.006793107,0.002007639,0.02009408],"genre_scores_gemma":[0.02670288,0.5743574,0.3153637,0.04179872,0.008917743,0.0170409,0.01006744,0.0007358514,0.005015303],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6974976,"threshold_uncertainty_score":0.8601387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7870004704551656,"score_gpt":0.6330287913592825,"score_spread":0.1539716790958832,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}