{"id":"W6920233181","doi":"10.6068/dp14baa3014f197","title":"Trend 2005 - 2012. Statistics Canada. CANSIM: Energy - Nuclear and Electric Power | Country: Canada | Province: Yukon | Table: Fuel consumed for electric power generation, by electric utility thermal plants | Variable: Diesel | Units: (kilolitres), 2005-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-079.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electric utility; Electric power; Electricity generation; Electricity; Nuclear power; Hydroelectricity; Thermal power station; Energy security","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001694181,0.002280083,0.002453642,0.0005568141,0.0005819878,0.0007811415,0.003772997,0.001394892,0.009977797],"category_scores_gemma":[0.00044443,0.002242907,8.490616e-7,0.001103679,0.0002975829,0.001042475,0.0007351472,0.00173331,0.0001471746],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578533,"about_ca_system_score_gemma":0.04550036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990748,"about_ca_topic_score_gemma":0.9987697,"domain_scores_codex":[0.986581,0.001378962,0.002121235,0.003370917,0.002743823,0.003804122],"domain_scores_gemma":[0.9891884,0.001560586,0.001972208,0.004965668,0.0003692405,0.001943934],"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":[0.00101223,0.0003758706,0.00000471878,0.0004220159,0.001227577,0.0003715227,0.000002221487,0.00001062929,0.0003725802,0.0008361571,0.9951709,0.0001935616],"study_design_scores_gemma":[0.002604837,0.0003060772,0.000003303496,0.0000271994,0.001020802,0.0003412929,0.00003398025,0.02156537,6.061115e-7,6.425287e-7,0.971641,0.002454899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000127931,0.03399489,0.00003161822,0.000004968931,0.0008821156,0.002323138,0.9584788,0.0002745645,0.004008634],"genre_scores_gemma":[0.00006870631,0.002690403,0.0001492328,0.0006699758,0.0004581343,0.0001474969,0.9831921,0.001301176,0.01132282],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04392182,"threshold_uncertainty_score":0.9999015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01755775123854275,"score_gpt":0.2302704830307709,"score_spread":0.2127127317922282,"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."}}