{"id":"W3123023723","doi":"10.55016/ojs/sppp.v7i1.42913","title":"Safety in Numbers: Evaluating Canadian Rail Safety Data","year":2014,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transport engineering; Business; Computer science; Engineering","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":[0.0400941,0.001160257,0.0008568203,0.0159116,0.004063517,0.007474197,0.004326448,0.001347174,0.006321645],"category_scores_gemma":[0.2081338,0.0005759925,0.00138882,0.02826052,0.002499376,0.003800743,0.004121148,0.001680789,0.001239605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1065628,"about_ca_system_score_gemma":0.1195673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929143,"about_ca_topic_score_gemma":0.9895861,"domain_scores_codex":[0.9469737,0.006516491,0.00262047,0.003160124,0.03786973,0.002859396],"domain_scores_gemma":[0.7666811,0.03612733,0.01066283,0.009540866,0.1709382,0.006049822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001248028,0.0003275981,0.5131614,0.001721925,0.0007829746,0.0003436319,0.003951957,0.01885898,0.0003913927,0.02809183,0.2803578,0.1507624],"study_design_scores_gemma":[0.0003648259,0.000357152,0.6550304,0.00160083,0.0006176673,0.0001624909,0.01142325,0.0375232,0.00126793,0.004330011,0.2869723,0.0003498721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.48826,0.007425036,0.009580099,0.028633,0.001555374,0.002689452,0.3265159,0.001431721,0.1339095],"genre_scores_gemma":[0.7194281,0.003272241,0.01429119,0.00240273,0.0002418339,0.0008390588,0.247971,0.0003971756,0.0111567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1065628,"threshold_uncertainty_score":0.7731707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04420700634354421,"score_gpt":0.3127446703528921,"score_spread":0.2685376640093479,"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."}}