{"id":"W3096216217","doi":"10.1177/1352458521992507","title":"Clinical predictors of driving simulator performance in drivers with multiple sclerosis","year":2021,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Driving simulator; Recall; Multiple sclerosis; Psychology; Poison control; Driving simulation; Cognition; Physical medicine and rehabilitation; Audiology; Simulation; Cognitive psychology; Computer science; Medicine; Medical emergency","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":[],"consensus_categories":[],"category_scores_codex":[0.0003932409,0.0003474016,0.0002024861,0.0006654714,0.0003613023,0.0006248501,0.0002694057,0.0005040896,0.001951846],"category_scores_gemma":[0.004505415,0.000129275,0.0002292569,0.0003758694,0.0002315208,0.0004200938,0.0004297227,0.0004570385,0.0003422424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002182167,"about_ca_system_score_gemma":0.0003321309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004098152,"about_ca_topic_score_gemma":0.003902335,"domain_scores_codex":[0.9997612,0.00004603272,0.00003571914,0.00004648722,0.00006941394,0.00004115842],"domain_scores_gemma":[0.9979191,0.0004816924,0.0008638373,0.00007160634,0.0003826979,0.0002809445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007105947,0.0000273487,0.9986181,0.000004078398,0.00001428242,0.00004357279,0.00006196481,0.0000552009,0.00008251648,0.000004823668,0.00003696578,0.0009799616],"study_design_scores_gemma":[0.000004373378,0.0001839633,0.9982094,0.000006275931,0.00001936016,0.0004035892,0.0002986802,0.0005738493,0.0001286796,0.0000435491,0.0001231959,0.000005149773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996229,0.00006044613,0.00003214191,0.00001933592,0.000002807219,0.000003740894,0.00005353274,0.000002360618,0.000202584],"genre_scores_gemma":[0.9997793,0.00002377874,0.00002206051,0.00000437604,0.000003060427,0.000003247094,0.00009507461,5.797716e-7,0.00006858687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004098152,"threshold_uncertainty_score":0.008148611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331318295528123,"score_gpt":0.3553455391069187,"score_spread":0.2222137095541064,"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."}}