{"id":"W4411149355","doi":"10.2196/62862","title":"Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review","year":2025,"lang":"en","type":"review","venue":"JMIR Medical Informatics","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"ZonMw","keywords":"Preprint; Health records; Primary care; Electronic health record; Computer science; Artificial intelligence; Data science; Medicine; Data mining; Health care; World Wide Web; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03333117,0.002722783,0.01099506,0.01485097,0.0008451552,0.00394908,0.003516626,0.002354103,0.005550875],"category_scores_gemma":[0.1892246,0.001698183,0.01960182,0.01191964,0.001294208,0.004351099,0.001828962,0.002503894,0.0003888744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006609379,"about_ca_system_score_gemma":0.01465885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216295,"about_ca_topic_score_gemma":0.01898979,"domain_scores_codex":[0.9657409,0.01779152,0.009015465,0.002060773,0.005020902,0.0003705305],"domain_scores_gemma":[0.744436,0.2224724,0.0229897,0.002351992,0.007169411,0.0005805769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003204568,0.00003811404,0.002298562,0.9145972,0.03079913,0.00005074122,0.0001475687,0.0005989146,0.00002797868,0.000473174,0.001415215,0.04923286],"study_design_scores_gemma":[0.0006774063,0.0003075872,0.00490207,0.8032445,0.1783241,0.0002682846,0.0001936847,0.001546095,0.0001304226,0.001655637,0.008651976,0.00009810163],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008592898,0.9962497,0.001001193,0.0003476248,0.0001144582,0.0007158325,0.0004845341,0.00002525299,0.0002021568],"genre_scores_gemma":[0.04453431,0.9435183,0.007161255,0.0007790204,0.0002413035,0.002874137,0.0007616325,0.00002057042,0.0001094494],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03333117,"threshold_uncertainty_score":0.1762742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02014705720791973,"score_gpt":0.3577509687424427,"score_spread":0.337603911534523,"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."}}