{"id":"W4413741206","doi":"10.4235/agmr.25.0088","title":"Physician’s Role in Managing Driver’s Licenses for Older Adults: Implications for Korea","year":2025,"lang":"en","type":"article","venue":"Annals of Geriatric Medicine and Research","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hankuk University of Foreign Studies","keywords":"Gerontology; Business; Psychology; Medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001994018,0.0001189482,0.0004125897,0.0007569793,0.0006632488,0.000004536843,0.0002043035,0.0001013325,0.00001176671],"category_scores_gemma":[0.001802559,0.00008999871,0.00005463363,0.0008745978,0.0001979122,0.00006738301,0.0001762001,0.0003103905,0.000002376872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002818224,"about_ca_system_score_gemma":0.0001905582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007587103,"about_ca_topic_score_gemma":0.0003550475,"domain_scores_codex":[0.9980846,0.0002115712,0.0005251801,0.0003449356,0.0001935471,0.0006401855],"domain_scores_gemma":[0.9936993,0.004644652,0.0001179893,0.0002892044,0.001175044,0.00007382388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003577652,0.0002835071,0.1489728,0.006976906,0.0001750026,7.916543e-7,0.02289416,0.000002039623,0.0005443285,0.01353005,0.6439697,0.162293],"study_design_scores_gemma":[0.005341161,0.0005014344,0.8471043,0.005127416,0.00005489362,2.197953e-7,0.04523822,0.0003077978,0.0002067623,0.03971308,0.05621426,0.0001904373],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.594664,0.01937726,0.001563367,0.3553138,0.0005386907,0.009085865,0.0001382764,0.0000795995,0.01923912],"genre_scores_gemma":[0.9801985,0.009959407,0.0003403096,0.00253498,0.0006797574,0.002109681,0.0000304602,0.00002556795,0.004121331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6981315,"threshold_uncertainty_score":0.5101241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1614787791288834,"score_gpt":0.5389273677557038,"score_spread":0.3774485886268204,"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."}}