{"id":"W3147867481","doi":"10.1503/cmaj.114-0069","title":"Pregnancy and risk of a traffic crash","year":2014,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Pregnancy-related medical research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Crash; Pregnancy; Computer science; Emergency department; Injury prevention; Poison control; Human factors and ergonomics; Medical emergency; Medicine; Outcome (game theory); Suicide prevention; Occupational safety and health; Computer security; Psychiatry; Pathology; Biology; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0009110342,0.0001583634,0.0003546955,0.0008310256,0.001099814,0.0009565048,0.0003813168,0.004861047,0.003616434],"category_scores_gemma":[0.01422792,0.0001672874,0.0002236342,0.0007355553,0.0007093857,0.000887076,0.0004395651,0.003994224,0.0008652672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001042596,"about_ca_system_score_gemma":0.0008747273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006902135,"about_ca_topic_score_gemma":0.00789554,"domain_scores_codex":[0.9989634,0.0004296342,0.00008804207,0.0001317246,0.0002547516,0.0001325991],"domain_scores_gemma":[0.9963768,0.002009938,0.0006801739,0.0001048269,0.0003918181,0.0004365011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006386786,0.0001786611,0.5894234,0.0003048865,0.0001593101,0.01595801,0.0009162209,0.0003412444,0.0005682292,0.01027641,0.2837771,0.09745789],"study_design_scores_gemma":[0.0002519661,0.0006274654,0.5608196,0.004333409,0.0004030979,0.1536887,0.004721423,0.003567024,0.0007469148,0.0481866,0.2223678,0.0002859927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09906763,0.04595036,0.0003683377,0.8174897,0.005504211,0.00001943672,0.0003429604,0.00003307464,0.03122438],"genre_scores_gemma":[0.8097644,0.03228994,0.0004659458,0.1173561,0.03513072,0.00003833239,0.0001918873,0.00002288334,0.004739786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006902135,"threshold_uncertainty_score":0.01372391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175296905064625,"score_gpt":0.2635708257325985,"score_spread":0.2518178566819523,"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."}}