{"id":"W6901407485","doi":"10.6068/dp14ba7ee2aa867","title":"Trend 1987 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Rail | Country: Canada | Table: Dangerous goods reportable accidents | Variable: By struck, Rail | Units: #, 1987-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-196.","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; Census; Official statistics; Summary statistics; Statistical analysis; Descriptive statistics; Business 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":[0.002175864,0.002415997,0.002763598,0.009967427,0.003357416,0.004826988,0.005274242,0.001512162,0.09441404],"category_scores_gemma":[0.01869576,0.001896102,0.002013322,0.04463638,0.000681423,0.00276007,0.002301738,0.003188188,0.06057176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05495887,"about_ca_system_score_gemma":0.1482105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948503,"about_ca_topic_score_gemma":0.9929307,"domain_scores_codex":[0.9953746,0.000290597,0.0004744035,0.0005559986,0.002248001,0.001056399],"domain_scores_gemma":[0.9633877,0.001177309,0.001066349,0.001025031,0.03174148,0.001602136],"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":[0.00002109234,0.000005986922,0.0008802858,0.0002313643,0.00001804521,0.000006168202,0.0000212554,0.0001132781,0.000007737447,0.000351579,0.9968722,0.001471005],"study_design_scores_gemma":[0.0001373017,0.00001292244,0.02378937,0.0008513107,0.00007039199,0.00002546678,0.0005162857,0.0004683417,0.0001597701,0.0006455563,0.973241,0.00008236284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005378862,0.00004918981,0.00002859936,0.0001298441,0.00003100972,0.00001692473,0.9986482,0.00006428937,0.0009781731],"genre_scores_gemma":[0.0009330648,0.000299594,0.0003950685,0.0001506561,0.00002062064,0.0001396089,0.9932383,0.0001283222,0.004694621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09441404,"threshold_uncertainty_score":0.3987563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02197986264600675,"score_gpt":0.2484105221382337,"score_spread":0.2264306594922269,"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."}}