{"id":"W6939280993","doi":"10.6068/dp14ba84b327182","title":"Trend 2002 - 2007. Statistics Canada. CANSIM: Energy - Energy Consumption and Disposition | Country: Canada | Table: Supply and demand of primary and secondary energy in natural units | Variable: Motor gasoline, secondary energy, Domestic marine | Units: Megalitres, 2002-2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-078.","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; Energy consumption; Official statistics; Consumption (sociology); Primary energy; Descriptive statistics; Energy supply; Summary statistics; International comparisons","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":[0.001816079,0.002413167,0.002574775,0.008039,0.00297634,0.004857715,0.004623389,0.001347895,0.09612115],"category_scores_gemma":[0.01381261,0.001716804,0.002163112,0.04133996,0.000611465,0.002540711,0.002163195,0.003003489,0.0580045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05354317,"about_ca_system_score_gemma":0.1341941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944749,"about_ca_topic_score_gemma":0.9921463,"domain_scores_codex":[0.9960239,0.000246072,0.0003848044,0.0004451952,0.00195841,0.0009416166],"domain_scores_gemma":[0.9707178,0.0008618893,0.0007107251,0.0007750563,0.02572781,0.001206556],"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":[0.0000227919,0.000006152841,0.000885263,0.0002405713,0.00001961031,0.000007809658,0.00001920744,0.0001333422,0.00001015214,0.0004819281,0.996369,0.001804222],"study_design_scores_gemma":[0.0001065095,0.00001036014,0.0182257,0.0007522456,0.00005612415,0.00002587154,0.0004401309,0.0004819179,0.0001840596,0.0006586424,0.9789861,0.00007230619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005575541,0.00006010887,0.00003288324,0.0001373932,0.00003532287,0.00001518404,0.9982532,0.00006867287,0.001341554],"genre_scores_gemma":[0.001042947,0.0003955472,0.0005081633,0.0001781704,0.00002067684,0.0001260711,0.991148,0.0001562064,0.006424203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09612115,"threshold_uncertainty_score":0.3884847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126667958314877,"score_gpt":0.2164869076479998,"score_spread":0.205220228064851,"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."}}