{"id":"W1938117512","doi":"10.1136/injuryprev-2015-041687","title":"Is it safe in numbers?","year":2015,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Forensic engineering; Poison control; Engineering; Human factors and ergonomics; Environmental science; Medical emergency; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.01790532,0.0009243794,0.001368894,0.002677896,0.006879495,0.02242965,0.002427768,0.008224737,0.03564633],"category_scores_gemma":[0.08370269,0.0005118118,0.0009816862,0.002269822,0.03508935,0.03714793,0.008183977,0.01526895,0.01160468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004422741,"about_ca_system_score_gemma":0.007035667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005859055,"about_ca_topic_score_gemma":0.00475395,"domain_scores_codex":[0.97949,0.01017505,0.001124081,0.002455382,0.005161893,0.001593539],"domain_scores_gemma":[0.964972,0.01862361,0.002944452,0.003225335,0.006155299,0.004079317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009759302,0.00006741196,0.004180253,0.0005326872,0.0000408852,0.0002556804,0.009614159,0.0001362279,0.00007444622,0.473442,0.3858527,0.125706],"study_design_scores_gemma":[0.00001922768,0.00006948529,0.001132359,0.001381409,0.00001228397,0.0002259639,0.006373161,0.00006819112,0.00008713662,0.1623981,0.8281968,0.00003590583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003579669,0.03692865,0.003866843,0.8148313,0.02607751,0.00004157291,0.0002486973,0.0001636589,0.1142621],"genre_scores_gemma":[0.2310073,0.08040293,0.005442427,0.5315654,0.05034819,0.0004392379,0.0007724614,0.0007851153,0.09923696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03564633,"threshold_uncertainty_score":0.1192488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03172261105265806,"score_gpt":0.292630963577896,"score_spread":0.2609083525252379,"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."}}