{"id":"W6976467016","doi":"10.6068/dp14ba862aaf419","title":"Trend 2002 - 2012. Statistics Canada. CANSIM: Environment - Pollution and Waste | Country: Canada | Table: Air accident rankings for top commodities, package types and initiating events | Variable: Air accidents for top 10 initiating events, improper blocking, bracing | 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; Official statistics; Census; Summary statistics; Air pollution; Pollution; Statistical analysis; 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":[0.002160715,0.002552647,0.002594623,0.008814158,0.003054767,0.005409432,0.00501898,0.001527624,0.1025521],"category_scores_gemma":[0.01780695,0.001955752,0.002397874,0.04247107,0.0006823032,0.002845456,0.002454908,0.003151451,0.06490382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05961039,"about_ca_system_score_gemma":0.1543933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994183,"about_ca_topic_score_gemma":0.9919151,"domain_scores_codex":[0.9951904,0.0002925124,0.000478098,0.0005413514,0.002382163,0.001115396],"domain_scores_gemma":[0.9637656,0.001083246,0.000946755,0.001026562,0.03157194,0.001605801],"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":[0.00002068705,0.000005497333,0.0007568269,0.000221827,0.00001823623,0.000005819485,0.00001560607,0.0001135234,0.000009360398,0.0003641253,0.9969222,0.001546419],"study_design_scores_gemma":[0.0001165399,0.000009790056,0.01679656,0.0007251981,0.00006122492,0.00002233503,0.0003539879,0.0004703269,0.0001871538,0.0006705946,0.9805107,0.00007573734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004614643,0.00005310536,0.00003289377,0.0001526703,0.00003375537,0.00001625055,0.9982881,0.00008946119,0.001287756],"genre_scores_gemma":[0.0008958355,0.0003438698,0.0005300118,0.0002019079,0.00002098485,0.000132084,0.9918962,0.0001794017,0.005799796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1025521,"threshold_uncertainty_score":0.4325057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02521031038759066,"score_gpt":0.247491679266557,"score_spread":0.2222813688789663,"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."}}