{"id":"W2099504713","doi":"10.1503/cmaj.122001","title":"Medical interventions to reduce motor vehicle collisions","year":2013,"lang":"en","type":"review","venue":"Canadian Medical Association Journal","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Psychological intervention; Injury prevention; Medicine; Poison control; Medical emergency; Occupational safety and health; Vehicle accident; Suicide prevention; Human factors and ergonomics; Physical medicine and rehabilitation; Emergency medicine; Psychiatry; Surgery; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001713921,0.0003437937,0.001558033,0.000625258,0.0004522668,0.00008152345,0.0004582114,0.00127325,0.03147978],"category_scores_gemma":[0.01165925,0.0002654666,0.00130987,0.0006802261,0.00005573316,0.00007371037,0.00007244172,0.002618069,0.003118883],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588182,"about_ca_system_score_gemma":0.01252083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002310713,"about_ca_topic_score_gemma":0.01328406,"domain_scores_codex":[0.9943259,0.000321377,0.00145324,0.0003269793,0.00277333,0.000799139],"domain_scores_gemma":[0.9911925,0.0002949402,0.0003737309,0.0002338358,0.00081301,0.007092012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001101348,0.00003331846,0.00009161246,0.0008395929,0.0003273929,0.000329935,0.00005004336,1.604237e-8,3.658981e-8,0.00003414136,0.3900017,0.6082911],"study_design_scores_gemma":[0.0003664701,0.0001195314,0.0006248182,0.01918214,0.0006576389,0.0008759768,0.0001675173,0.000002784881,4.618393e-8,0.000009748312,0.9777651,0.0002282731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001140727,0.9582289,0.00002495427,0.02938556,0.003748136,0.0007570653,0.0001408704,0.00003985805,0.007560541],"genre_scores_gemma":[0.00005832707,0.9847941,0.000116311,0.003571621,0.004506883,0.000143125,0.0000563365,0.00005562409,0.006697607],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6080628,"threshold_uncertainty_score":0.9999797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05771671510791025,"score_gpt":0.3784206971060513,"score_spread":0.320703981998141,"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."}}