{"id":"W6920863384","doi":"10.6084/m9.figshare.7435004.v1","title":"Additional file 1: of Childhood road traffic injuries in Canada â a provincial comparison of transport injury rates over time","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Table (database); Poison control; Road traffic; Injury prevention; Booster (rocketry)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005753077,0.0006906889,0.0009505805,0.003967351,0.002105141,0.001088745,0.001730257,0.0004436465,0.3703623],"category_scores_gemma":[0.01122788,0.0004870479,0.001170225,0.01193993,0.0002969245,0.000961594,0.0007277816,0.0007365833,0.0165864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01246657,"about_ca_system_score_gemma":0.02926499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9716096,"about_ca_topic_score_gemma":0.9778006,"domain_scores_codex":[0.9991707,0.00004023929,0.0001176682,0.000131392,0.0002995952,0.0002404892],"domain_scores_gemma":[0.9906616,0.001440706,0.0007438284,0.0003335248,0.006292789,0.0005275516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001664082,0.00004867553,0.03574517,0.00139298,0.0000825811,0.00005987215,0.0001648944,0.0004121926,0.00003875016,0.0004659965,0.9526555,0.008766974],"study_design_scores_gemma":[0.001083196,0.00009679395,0.758145,0.003414956,0.0002623655,0.0002808646,0.00207684,0.001990251,0.0003142906,0.0009831865,0.2312263,0.000125786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001065219,0.00003033681,0.0000317601,0.00006440323,0.0000108555,0.00006019023,0.9972819,0.00003192962,0.001423382],"genre_scores_gemma":[0.06201239,0.0005450596,0.001062121,0.0003073484,0.00004345156,0.000963971,0.9192288,0.0001537699,0.015683],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3703623,"threshold_uncertainty_score":0.8981017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006069038649567166,"score_gpt":0.1983739345565002,"score_spread":0.192304895906933,"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."}}