{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001882181,0.0003862681,0.0009972104,0.0002909714,0.001141662,0.0000376863,0.0004391577,0.0003197353,0.0002159315],"category_scores_gemma":[0.003029981,0.0003197241,0.0002715789,0.0007412153,0.0003298661,0.0005435157,0.0004002593,0.002146898,0.0000525114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003570459,"about_ca_system_score_gemma":0.0006442543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007993601,"about_ca_topic_score_gemma":0.004391632,"domain_scores_codex":[0.9944586,0.001076551,0.002007528,0.000585088,0.0008163529,0.001055939],"domain_scores_gemma":[0.994258,0.002940236,0.000967215,0.0005643883,0.0008809104,0.0003892106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000854029,0.0003657015,0.987826,0.0001560581,0.0002005651,0.00001618421,0.003442521,0.00230928,0.002279578,0.000001607259,0.0007096946,0.002607375],"study_design_scores_gemma":[0.007788977,0.0002362262,0.9753412,0.005298454,0.00007368933,0.000007587571,0.003748066,0.005920387,0.0005941445,0.000003308352,0.0006615096,0.0003264471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965197,0.0001801209,0.0003546543,0.0003771346,0.001735585,0.0004875266,0.00002874712,0.0000846894,0.0002318564],"genre_scores_gemma":[0.9936068,0.001955969,0.003275063,0.0002076022,0.0006113862,0.00004003853,0.000006526475,0.00007826121,0.0002183668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01248483,"threshold_uncertainty_score":0.9999255,"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."}}