{"id":"W6976742441","doi":"10.6068/dp14ba82dc9c996","title":"Trend 2002 - 2012. Statistics Canada. CANSIM: Environment - Pollution and Waste | Country: Canada | Table: Rail accident rankings for top commodities, package types and initiating events | Variable: Rail accidents for top 10 commodities, anhydrous ammonia | Units: #, 2002-2012. 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; Census; Official statistics; Pollution; Statistical analysis; Social statistics; Descriptive 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":[0.002297523,0.002675485,0.002678205,0.008751648,0.003090373,0.005589745,0.005144421,0.001642881,0.1093798],"category_scores_gemma":[0.01902473,0.002050087,0.002392281,0.04296453,0.0007277705,0.002943827,0.002619772,0.003199664,0.0713543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05988728,"about_ca_system_score_gemma":0.151279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993337,"about_ca_topic_score_gemma":0.9905995,"domain_scores_codex":[0.9951095,0.0003076498,0.0004982653,0.0005672745,0.002402222,0.001115137],"domain_scores_gemma":[0.9619968,0.001220818,0.00102811,0.001160579,0.03280493,0.001788802],"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":[0.0000206133,0.000005129216,0.0006739789,0.0002191584,0.00001745868,0.000005377793,0.00001476004,0.0001091502,0.000009628312,0.0003426058,0.9971333,0.001448887],"study_design_scores_gemma":[0.0001209519,0.0000092939,0.01463455,0.0007031728,0.00005538948,0.00002014571,0.0003106631,0.0004539133,0.0001850224,0.0006617722,0.9827703,0.00007477761],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003974283,0.00004656588,0.00003247126,0.0001537521,0.00003331762,0.00001587815,0.9983491,0.00009928571,0.00122994],"genre_scores_gemma":[0.0007966015,0.000321302,0.0005450202,0.0002084737,0.00002087147,0.0001377441,0.9923967,0.000199336,0.005374],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1093798,"threshold_uncertainty_score":0.4345146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682232740548313,"score_gpt":0.2427922324830854,"score_spread":0.2159699050776023,"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."}}