{"id":"W2981151315","doi":"10.1080/17483107.2019.1673837","title":"Advantages of training with an adaptive driving device on a driving simulator compared to training only on the road","year":2019,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre for Interdisciplinary Research in Rehabilitation; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; McGill University; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"","keywords":"Driving simulator; Simulation; Training (meteorology); Session (web analytics); Test (biology); Significant difference; Psychology; Computer science; Physical medicine and rehabilitation; Physical therapy; Medicine","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":[0.0007173011,0.0003720234,0.0003562378,0.0002599422,0.0001638697,0.0002523072,0.0002602291,0.0003517442,0.002987018],"category_scores_gemma":[0.001659321,0.0001001586,0.0004479405,0.0001101722,0.0001671064,0.0002764023,0.0004495832,0.0002579368,0.0002576984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204963,"about_ca_system_score_gemma":0.0002324489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003900004,"about_ca_topic_score_gemma":0.0009307661,"domain_scores_codex":[0.999535,0.0001699019,0.00004639393,0.000066342,0.00009842186,0.00008399958],"domain_scores_gemma":[0.9990031,0.0003098545,0.0001812089,0.00005323124,0.00008358102,0.0003689878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.07270841,0.0684517,0.3238853,0.002454844,0.001430187,0.0006799117,0.001395432,0.002841201,0.1013336,0.0002172679,0.001017153,0.423585],"study_design_scores_gemma":[0.001120229,0.2556342,0.7324865,0.0001285996,0.0004122632,0.0005387617,0.0007194632,0.00129469,0.006118216,0.0001152929,0.001396331,0.00003547881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993508,0.00007983102,0.00009001917,0.00001843521,0.000008667514,0.00002887571,0.00002361674,0.000004064404,0.0003956945],"genre_scores_gemma":[0.9985673,0.0001228327,0.0005685629,0.00002943716,0.00001627514,0.00006433206,0.00008486602,0.000001997865,0.0005443827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002987018,"threshold_uncertainty_score":0.009992599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05023439311492738,"score_gpt":0.3818631157155239,"score_spread":0.3316287226005966,"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."}}