{"id":"W1569727317","doi":"10.1097/phm.0b013e3181aa001e","title":"Differences Between Poststroke Drivers and Nondrivers","year":2009,"lang":"en","type":"article","venue":"American Journal of Physical Medicine & Rehabilitation","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Élisabeth Bruyère Hospital","funders":"","keywords":"Medicine; Stroke (engine); Taxis; Rehabilitation; Injury prevention; Telephone interview; Poison control; Human factors and ergonomics; Suicide prevention; Occupational safety and health; Comorbidity; Physical therapy; Medical emergency; Transport engineering; Psychiatry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002142846,0.0001611648,0.0002189495,0.0006436132,0.0003433326,0.0004419117,0.0002361712,0.000320385,0.002475914],"category_scores_gemma":[0.0009085264,0.0001634976,0.0002130159,0.0003615702,0.0001851929,0.0003488927,0.0002651742,0.0001754474,0.000417944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002996041,"about_ca_system_score_gemma":0.0002122416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01490758,"about_ca_topic_score_gemma":0.02781612,"domain_scores_codex":[0.9998145,0.00001882013,0.00002042364,0.0000429877,0.0000484191,0.00005495903],"domain_scores_gemma":[0.999603,0.00005496576,0.0001299959,0.00001450111,0.0000758602,0.0001216945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001512015,0.00005535905,0.9975262,0.000006302827,0.00002545432,0.00007740047,0.0002186582,0.00001086816,0.000382669,0.00001391608,0.00008468446,0.001447163],"study_design_scores_gemma":[0.000005010756,0.0001087784,0.9991713,0.000002085645,0.000007926827,0.00008931698,0.0004320801,0.00003630085,0.00004076968,0.000008721905,0.00009566727,0.000002063673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996368,0.00004187558,0.00000951715,0.000008063623,0.000002497534,0.000003582483,0.00007263417,6.839799e-7,0.0002243336],"genre_scores_gemma":[0.9991686,0.00005079873,0.00001190002,0.00001512546,0.00000369897,0.00000581983,0.0002930234,7.603063e-7,0.0004502791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01490758,"threshold_uncertainty_score":0.02964157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686942622650143,"score_gpt":0.3830434335853859,"score_spread":0.3661740073588844,"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."}}