{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001433788,0.00006091486,0.0000697158,0.00004444391,0.000009351398,0.000007228118,0.0000537399,0.00006079035,0.0002004001],"category_scores_gemma":[0.00000587351,0.0000634043,0.00003371531,0.0001028808,0.000006915186,0.0001205093,0.00001123819,0.00008299141,0.0004812843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006277295,"about_ca_system_score_gemma":0.0000128928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001302372,"about_ca_topic_score_gemma":0.00004014431,"domain_scores_codex":[0.9995727,0.00001639114,0.0001379708,0.00007744035,0.00008535195,0.0001101806],"domain_scores_gemma":[0.9998283,0.00000441077,0.00001134588,0.0001002377,0.00001096536,0.00004477453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001354251,0.0002615982,0.01933464,0.0001560077,0.00009407144,0.00002209917,0.007187952,0.02290402,0.0009397056,0.001964705,0.6738383,0.2731615],"study_design_scores_gemma":[0.004170269,0.0003482993,0.1552069,0.0004733019,0.00006698553,0.00002912388,0.002052775,0.04391786,0.006342367,0.01317699,0.7729017,0.001313398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8859638,0.0002120356,0.004918688,0.0003168347,0.000901596,0.0001715217,0.000008234801,0.0002075949,0.1072997],"genre_scores_gemma":[0.9960965,0.00002775715,0.000498126,0.00004334462,0.00005941012,0.000007335677,0.00000738568,0.00001057207,0.00324958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2718481,"threshold_uncertainty_score":0.6186096,"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."}}