{"id":"W6920477869","doi":"10.6068/dp14ba7f05ba678","title":"Trend 1987 - 2012. Statistics Canada. CANSIM: Environment - Pollution and Waste | Country: Canada | Table: Dangerous goods reportable accidents | Variable: By spill and leak, 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; Pollution; Statistical analysis; Descriptive statistics; Socioeconomic status","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":[0.002172948,0.002458641,0.002809275,0.009707276,0.00341587,0.005273246,0.005134206,0.001622433,0.1024681],"category_scores_gemma":[0.01908931,0.001970044,0.002230547,0.04708137,0.0007751291,0.002828315,0.002435938,0.003249368,0.06487831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06029653,"about_ca_system_score_gemma":0.1684218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949386,"about_ca_topic_score_gemma":0.9929094,"domain_scores_codex":[0.9950074,0.0003071029,0.0005132857,0.0005741526,0.002465544,0.001132555],"domain_scores_gemma":[0.9617028,0.001227547,0.001052671,0.00107186,0.03324452,0.001700607],"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":[0.00001878338,0.000005313974,0.0007080153,0.0002225093,0.00001761108,0.000005551096,0.00001752046,0.0001063701,0.000007548878,0.0003500181,0.9971904,0.001350338],"study_design_scores_gemma":[0.0001237643,0.00001016022,0.01744276,0.0007753933,0.0000649593,0.00002244154,0.0004018058,0.0004024925,0.0001599937,0.0006674441,0.9798532,0.00007572742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004294212,0.00005287929,0.00002674877,0.000147109,0.00003104359,0.00001524776,0.9985469,0.00007062446,0.001066538],"genre_scores_gemma":[0.0008686631,0.0003507009,0.000433755,0.00018696,0.00002132636,0.0001341682,0.992637,0.0001564227,0.005210908],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1024681,"threshold_uncertainty_score":0.437484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107704473838295,"score_gpt":0.2340511092182829,"score_spread":0.2129740644799,"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."}}