{"id":"W4411602133","doi":"10.1136/heartjnl-2025-326041","title":"Predicting the risk of motor vehicle crash in the first year after cardioverter-defibrillator implantation","year":2025,"lang":"en","type":"article","venue":"Heart","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Centre for Advancing Health Outcomes; University of British Columbia","funders":"Michael Smith Health Research BC; Vancouver Coastal Health Research Institute; Heart and Stroke Foundation of Canada","keywords":"Medicine; Implantable cardioverter-defibrillator; Crash; Logistic regression; Population; Poison control; Injury prevention; Occupational safety and health; Sudden cardiac arrest; Motor vehicle crash; Demography; Emergency medicine; Medical emergency; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006089031,0.00007821268,0.0001882616,0.00004656304,0.0004257482,0.000007642996,0.0001006039,0.00006209602,0.00001031815],"category_scores_gemma":[0.0002613063,0.00004462034,0.0000667985,0.0001885707,0.00004695683,0.0000489932,0.00009325612,0.0003002602,0.00005870156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004547651,"about_ca_system_score_gemma":0.00005631038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055104,"about_ca_topic_score_gemma":0.004181333,"domain_scores_codex":[0.9987952,0.0003873277,0.0002852773,0.000134826,0.000168705,0.0002286996],"domain_scores_gemma":[0.998426,0.001125872,0.00007361003,0.0003063242,0.00005574673,0.0000125024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001515682,0.000008636528,0.9816501,0.0001025021,0.00003563063,1.786171e-7,0.006979342,0.000006310843,0.00002610427,0.00003248971,0.01108028,0.00006331852],"study_design_scores_gemma":[0.0003131609,0.00001918702,0.9745308,0.0002867528,0.00003979652,5.389024e-7,0.00418633,0.00005840812,0.00001454109,0.0001289161,0.02038356,0.00003800488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900024,0.0001854267,0.00001487822,0.002111913,0.0003973945,0.0006250959,0.00004988204,0.00002985538,0.006583184],"genre_scores_gemma":[0.9984534,0.00006940305,0.00003403432,0.0008815373,0.0001401699,0.0001468241,8.621819e-7,0.000008360589,0.0002654457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009303284,"threshold_uncertainty_score":0.3274554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579299027580797,"score_gpt":0.3350887171917993,"score_spread":0.3192957269159913,"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."}}