{"id":"W6901775627","doi":"10.6068/dp14ba7ecdca647","title":"Trend 1987 - 2012. Statistics Canada. CANSIM: Environment - Pollution and Waste | Country: Canada | Table: Dangerous goods reportable accidents | Variable: Sanivan, Rail | Units: # #, 1987-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-087.","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; Summary statistics; Official statistics; Census; Statistical analysis; Pollution; Descriptive statistics; Social statistics","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":[0.002091087,0.002449479,0.002799205,0.009798864,0.003396646,0.00525938,0.005003153,0.001630498,0.1013252],"category_scores_gemma":[0.01855656,0.001939247,0.002204608,0.04657411,0.0007533145,0.002822436,0.002387898,0.003264145,0.06498303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05896381,"about_ca_system_score_gemma":0.1652909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947631,"about_ca_topic_score_gemma":0.9926541,"domain_scores_codex":[0.9951993,0.0002858024,0.0004912792,0.0005655063,0.002365749,0.001092447],"domain_scores_gemma":[0.9629224,0.001188485,0.001025578,0.001022327,0.03219689,0.001644398],"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":[0.00001782585,0.000005348871,0.0006942918,0.0002157161,0.00001711322,0.000005612801,0.00001685305,0.000106271,0.0000075979,0.0003381567,0.9972716,0.001303607],"study_design_scores_gemma":[0.0001262219,0.00001014379,0.01768761,0.0007631071,0.00006472207,0.00002270501,0.0003899947,0.0004216491,0.0001649574,0.0006747681,0.9795977,0.00007621398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004294793,0.00005095905,0.00002558794,0.000144202,0.00003072727,0.00001484319,0.99858,0.00006845052,0.001042341],"genre_scores_gemma":[0.0008391229,0.0003331626,0.0004082218,0.0001768667,0.00002118695,0.0001272904,0.992907,0.0001474732,0.005039618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1013252,"threshold_uncertainty_score":0.4278144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335394056227922,"score_gpt":0.2387481313454035,"score_spread":0.2153941907831243,"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."}}