{"id":"W6939056695","doi":"10.6068/dp14ba81a842752","title":"Trend 1995 - 2012. Statistics Canada. CANSIM: Energy - Energy Consumption and Disposition | Country: Canada | Table: Supply and demand of refined petroleum products for non-energy use | Variable: Other non-energy products, Imports | Units: Megalitres, 1995-2012. 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; Consumption (sociology); Official statistics; Summary statistics; Petroleum; Descriptive statistics; Energy source; Production (economics); Energy (signal processing)","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":[0.001851972,0.002362763,0.00258252,0.008433098,0.003044392,0.004719702,0.004754487,0.001349051,0.09450495],"category_scores_gemma":[0.01436335,0.001716267,0.002174831,0.04157888,0.0006114152,0.002570653,0.002200766,0.002944337,0.05530231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05635223,"about_ca_system_score_gemma":0.1442024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950836,"about_ca_topic_score_gemma":0.9928513,"domain_scores_codex":[0.9958929,0.0002439038,0.0004043583,0.0004804345,0.001997469,0.0009809891],"domain_scores_gemma":[0.9713339,0.0008198118,0.000765066,0.0007637888,0.02507538,0.001242066],"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":[0.00002417507,0.000006327776,0.0009868024,0.000258498,0.0000220707,0.00000800876,0.0000213591,0.0001337909,0.0000105287,0.0005013822,0.9961368,0.001890158],"study_design_scores_gemma":[0.0001135934,0.00001102125,0.02098729,0.0007484026,0.00006517681,0.00002654852,0.0004327611,0.0004557131,0.0001929479,0.0006375631,0.9762529,0.00007601983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006001407,0.00006263945,0.00003232312,0.0001351853,0.00003304162,0.00001604429,0.9983178,0.00006723854,0.001275612],"genre_scores_gemma":[0.001141345,0.0004065281,0.0005068504,0.0001731443,0.00002138672,0.0001289094,0.9910949,0.0001462479,0.006380592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09450495,"threshold_uncertainty_score":0.4088659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01857646960409617,"score_gpt":0.2276782637282054,"score_spread":0.2091017941241092,"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."}}