{"id":"W6939235880","doi":"10.6068/dp14ba81cd41a75","title":"Trend 1987 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Road | Country: Canada | Table: Dangerous goods reportable accidents | Variable: Class 3 flammable and combustible liquids, Rail | Units: #, 1987-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-197.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxis; Economic statistics; Official statistics; Statistical analysis; Census; Descriptive statistics; Flammable liquid; Summary 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":[0.002003582,0.002492729,0.00288815,0.009123814,0.003751872,0.005089867,0.005085957,0.001565789,0.1020444],"category_scores_gemma":[0.01684594,0.001911014,0.002193353,0.04261187,0.000658591,0.002919781,0.002318395,0.003144996,0.06468451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0598639,"about_ca_system_score_gemma":0.1506197,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960945,"about_ca_topic_score_gemma":0.9942945,"domain_scores_codex":[0.9955527,0.0002758683,0.0004229343,0.0005526769,0.00212008,0.001075626],"domain_scores_gemma":[0.9656883,0.001053383,0.0009163893,0.0008953289,0.02991472,0.001531943],"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":[0.0000202876,0.000006484356,0.001023747,0.0002247736,0.00001798014,0.000006227208,0.00002223775,0.0001306225,0.000008254071,0.0004231918,0.9964467,0.001669581],"study_design_scores_gemma":[0.000126359,0.00001336316,0.0238245,0.0008301329,0.00007244969,0.00002814112,0.0005461511,0.0005753064,0.0001862607,0.0006620521,0.9730437,0.00009160228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006180932,0.00005833778,0.00003264411,0.0001367152,0.00003246896,0.00001653539,0.9983386,0.00007431136,0.001248601],"genre_scores_gemma":[0.001076735,0.0003712654,0.000431366,0.0001644366,0.00002073153,0.0001309165,0.9916037,0.0001554356,0.006045484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1020444,"threshold_uncertainty_score":0.434345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848512006337971,"score_gpt":0.2234717009220656,"score_spread":0.2049865808586859,"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."}}