{"id":"W6920306824","doi":"10.6068/dp14ba860ebe960","title":"Trend 2002 - 2009. Statistics Canada. CANSIM: Energy - Energy Consumption and Disposition | Country: Canada | Table: Supply and demand of primary and secondary energy in terajoules | Variable: Diesel fuel oil, Transformed to electricity by industry | Units: Terajoules, 2002-2009. 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; Descriptive statistics; Primary energy; Energy supply; Mains electricity; Energy source; 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":[0.001693262,0.002290319,0.002565854,0.007653949,0.003125808,0.004760371,0.004537364,0.001396656,0.09087626],"category_scores_gemma":[0.01433566,0.001615695,0.002236099,0.03902192,0.0005973926,0.00245649,0.00219404,0.002959315,0.0560559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04993487,"about_ca_system_score_gemma":0.1246965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943945,"about_ca_topic_score_gemma":0.9924447,"domain_scores_codex":[0.9962708,0.0002309666,0.0003856949,0.0004542101,0.001776103,0.0008821642],"domain_scores_gemma":[0.9733444,0.0008086999,0.0007157151,0.0007824827,0.02321927,0.001129558],"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":[0.0000244517,0.000006075375,0.0009723442,0.0002488516,0.00002158824,0.000008228648,0.0000193063,0.0001325187,0.00001038002,0.0004582904,0.9963683,0.001729673],"study_design_scores_gemma":[0.0001232247,0.00001089804,0.01959635,0.0007872253,0.00006230818,0.0000283168,0.0004445872,0.000499715,0.0001890606,0.0006944655,0.977484,0.00007970538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005222734,0.00005467838,0.00002810216,0.0001263729,0.00003185872,0.00001287243,0.998561,0.00005872436,0.001074234],"genre_scores_gemma":[0.001048354,0.0003642563,0.000449637,0.0001688706,0.00002082786,0.0001158251,0.9925014,0.0001339195,0.005196914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09087626,"threshold_uncertainty_score":0.3623045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316275120701556,"score_gpt":0.2173897770863277,"score_spread":0.2042270258793121,"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."}}