{"id":"W6939273065","doi":"10.6068/dp14ba81a22a715","title":"Trend 1987 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Rail | Country: Canada | Table: Dangerous goods reportable accidents, by selected characteristics | Variable: Due to a combination of both factors, Facility | Units: #, 1987-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-196.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Official statistics; Summary statistics; Descriptive statistics; Statistical analysis; Business statistics; Publication","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":[],"consensus_categories":[],"category_scores_codex":[0.002422296,0.002477326,0.002726671,0.0100614,0.003337055,0.004946225,0.005417321,0.001585992,0.1081851],"category_scores_gemma":[0.02113437,0.001974929,0.002091269,0.04472398,0.0006841447,0.002831797,0.002431084,0.003096426,0.06951264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05821161,"about_ca_system_score_gemma":0.1571597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994611,"about_ca_topic_score_gemma":0.9922695,"domain_scores_codex":[0.9947477,0.0003224817,0.0005572952,0.0006138771,0.002577005,0.001181567],"domain_scores_gemma":[0.9553861,0.00144031,0.001239591,0.001175427,0.03891144,0.00184716],"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":[0.00002007498,0.000005807638,0.000806843,0.0002323996,0.00001622331,0.0000057426,0.00002036616,0.0001094508,0.000008340355,0.0003391606,0.9969585,0.001477074],"study_design_scores_gemma":[0.0001349627,0.00001280049,0.02362324,0.0008883537,0.00006386665,0.00002455823,0.0005021069,0.0004525221,0.0001685108,0.0006063277,0.9734371,0.00008550484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004882409,0.00004261841,0.00003046157,0.0001262166,0.00003242583,0.00001980492,0.9984776,0.00007536946,0.001146642],"genre_scores_gemma":[0.0008633282,0.0002929126,0.0004419806,0.0001658446,0.00002109689,0.0001611023,0.9924575,0.0001546156,0.005441561],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1081851,"threshold_uncertainty_score":0.4223568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986696547596233,"score_gpt":0.2398227824004156,"score_spread":0.2199558169244533,"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."}}