{"id":"W6976076227","doi":"10.6068/dp14ba8143ef955","title":"Trend 1987 - 2012. Statistics Canada. CANSIM: Environment - Pollution and Waste | Country: Canada | Table: Dangerous goods reportable accidents | Variable: Class 3 flammable and combustible liquids, Road | 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; Official statistics; Flammable liquid; Census; Summary statistics; Descriptive statistics; Pollution","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":[0.002162938,0.002433348,0.002822842,0.00954838,0.003378355,0.005218603,0.005236837,0.001690078,0.1075407],"category_scores_gemma":[0.01895936,0.001990088,0.002269008,0.04604135,0.0007481346,0.002885427,0.002489211,0.003286121,0.07178375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05810646,"about_ca_system_score_gemma":0.1623269,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943655,"about_ca_topic_score_gemma":0.9920746,"domain_scores_codex":[0.9950656,0.0002979768,0.0005014435,0.0005665191,0.002448942,0.001119517],"domain_scores_gemma":[0.9609026,0.001256448,0.001042241,0.001065836,0.0340245,0.00170833],"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":[0.00001729222,0.000005313627,0.0006541642,0.0002126579,0.00001588268,0.000005227138,0.00001640378,0.0001000167,0.000007724251,0.0003390964,0.9973221,0.001304141],"study_design_scores_gemma":[0.0001245283,0.000009975329,0.0169908,0.0007455627,0.00005902208,0.00002227726,0.0003669855,0.000401018,0.0001650712,0.000651445,0.9803876,0.00007576236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003987286,0.00004850354,0.00002708985,0.0001401496,0.0000311689,0.00001542378,0.9985014,0.00007471998,0.001121625],"genre_scores_gemma":[0.0007644836,0.0003190412,0.0004250271,0.0001839031,0.0000205134,0.0001300007,0.9927818,0.0001582655,0.005217066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1075407,"threshold_uncertainty_score":0.4215938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116429488197021,"score_gpt":0.2355142470915698,"score_spread":0.2143499522095996,"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."}}