{"id":"W652588995","doi":"10.17077/drivingassessment.1494","title":"Predicting Older Adults’ On-Road Driving Performance","year":2013,"lang":"en","type":"article","venue":"","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Perception; Test (biology); Hazard; Driving test; Predictive validity; Sample (material); Computer science; Psychology; Statistics; Machine learning; Clinical psychology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002788934,0.0002187946,0.0002502861,0.00009504356,0.00128677,0.00001682046,0.000224888,0.0001328875,0.002911654],"category_scores_gemma":[0.0003683552,0.0001623192,0.00005213406,0.000163716,0.00005146276,0.0003285861,0.0002514041,0.000683,0.00760113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070141,"about_ca_system_score_gemma":0.00005598153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102623,"about_ca_topic_score_gemma":0.000692012,"domain_scores_codex":[0.9979096,0.0001338093,0.0004858543,0.0003744065,0.0003038773,0.0007924601],"domain_scores_gemma":[0.9985264,0.0005297741,0.0001510806,0.0004218488,0.0002359313,0.0001349766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003080361,0.00004043282,0.9631079,0.0001877603,0.00002143662,4.787281e-7,0.005838768,0.000004520343,0.0000160267,0.00004689522,0.01690903,0.01382368],"study_design_scores_gemma":[0.0007239778,0.00009742983,0.9858476,0.001701689,0.000007292443,5.888808e-7,0.005903994,0.004782361,0.0000292161,0.00001556432,0.0006998293,0.0001904609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.894205,0.00002205762,0.00003536143,0.001604499,0.0008713775,0.001022505,0.000001241326,0.000534798,0.1017031],"genre_scores_gemma":[0.9797062,0.00004646025,0.0003337273,0.001607111,0.0004970711,0.0004892059,0.000002495647,0.00004128661,0.01727644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08550115,"threshold_uncertainty_score":0.9979998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419560179194971,"score_gpt":0.340898771541282,"score_spread":0.3167031697493323,"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."}}