{"id":"W2144014697","doi":"","title":"Use of seat belts in rural Alberta: an observational analysis.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Seat belt; Geography; Observational study; Front (military); Engineering; Meteorology; Mathematics; Statistics","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":[0.0005759869,0.0002961804,0.0001774581,0.0009876159,0.0008356436,0.0003699513,0.0005900557,0.0001869823,0.000845189],"category_scores_gemma":[0.00163922,0.0003050763,0.0001694755,0.001718634,0.0004468439,0.0001966775,0.000506227,0.0002890492,0.0001807776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003509692,"about_ca_system_score_gemma":0.004270846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.885977,"about_ca_topic_score_gemma":0.9286883,"domain_scores_codex":[0.9995357,0.00007496777,0.00002229076,0.00005535648,0.000212143,0.00009959065],"domain_scores_gemma":[0.9989936,0.0001090831,0.0004215794,0.00004781594,0.0002800864,0.000147875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008682877,0.00006641964,0.9950423,0.00002788676,0.00001951533,0.0001834057,0.0009529839,0.00007491328,0.0003189186,0.00001565817,0.000232236,0.002978923],"study_design_scores_gemma":[0.000006810127,0.00005949834,0.998257,0.000006996901,0.000009501023,0.00009388269,0.001054035,0.0001176739,0.00004802111,0.000007243979,0.0003358172,0.000003577415],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99883,0.00009884592,0.0001340041,0.00002218368,0.000001517594,0.00002489867,0.0004666377,0.000004924742,0.0004169321],"genre_scores_gemma":[0.9978126,0.0002194996,0.0002898964,0.00003410898,0.000003199611,0.00002614747,0.000882166,0.000002107799,0.0007300524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.114023,"threshold_uncertainty_score":0.229389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05585606341247421,"score_gpt":0.219945094864173,"score_spread":0.1640890314516988,"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."}}