{"id":"W3100873476","doi":"10.1136/injuryprev-2020-043987","title":"Methodological considerations in MVC epidemiological research","year":2020,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Toronto Metropolitan University; Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Data collection; Epidemiology; Research design; Data quality; Psychological intervention; Epidemiological method; Data science; Computer science; Medicine; Engineering; Statistics; Operations management; Pathology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7543237,0.002442752,0.004095889,0.009760224,0.005172043,0.01241838,0.009092648,0.007322758,0.004091152],"category_scores_gemma":[0.8698967,0.002784187,0.004807437,0.01407027,0.01391433,0.009196457,0.009786431,0.008469411,0.001215904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01281328,"about_ca_system_score_gemma":0.03100263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006933882,"about_ca_topic_score_gemma":0.008428936,"domain_scores_codex":[0.09835603,0.7855988,0.07383126,0.007940385,0.03281588,0.001457639],"domain_scores_gemma":[0.09310162,0.7541784,0.03247519,0.0687755,0.0496641,0.001805198],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003365214,0.0007811686,0.0425792,0.0895048,0.01178204,0.001609986,0.04720143,0.008744085,0.00144302,0.3997118,0.07714165,0.3161356],"study_design_scores_gemma":[0.001786327,0.001492198,0.01810043,0.1373923,0.004841895,0.001692715,0.01260591,0.01636961,0.00308198,0.521641,0.2803536,0.0006421272],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01457041,0.05735932,0.6919103,0.1387223,0.01822695,0.05881541,0.003914053,0.0005494946,0.01593179],"genre_scores_gemma":[0.1466624,0.009459212,0.6608219,0.04087827,0.003578365,0.135427,0.001234887,0.0003006471,0.001637327],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2456763,"threshold_uncertainty_score":0.3029627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5125589711287637,"score_gpt":0.4742602287750389,"score_spread":0.03829874235372477,"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."}}