{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00160999,0.002305985,0.002617847,0.00759857,0.003088733,0.004692569,0.004818329,0.001486217,0.08585112],"category_scores_gemma":[0.0164244,0.001569969,0.002161908,0.03860404,0.0006661577,0.00247066,0.002132391,0.002903307,0.04821314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04674533,"about_ca_system_score_gemma":0.1166596,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935117,"about_ca_topic_score_gemma":0.9919327,"domain_scores_codex":[0.9966744,0.0002238602,0.000385522,0.0004726542,0.001463156,0.0007803876],"domain_scores_gemma":[0.9743029,0.0009531486,0.0007988074,0.0008245661,0.02198064,0.001139907],"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":[0.00002578721,0.000005530453,0.0009869471,0.0002904359,0.00002596885,0.000008560948,0.00001928356,0.0001304172,0.0000101421,0.0004309657,0.996531,0.001535057],"study_design_scores_gemma":[0.000153274,0.00001012752,0.01762302,0.0009134726,0.00008167804,0.0000330107,0.000414391,0.0004926488,0.0001873416,0.0007750719,0.9792341,0.00008174084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000469266,0.00005906901,0.00002330976,0.0001173057,0.00002614044,0.000009592505,0.998938,0.00004886636,0.0007307985],"genre_scores_gemma":[0.0008978027,0.0003171822,0.0003372919,0.0001490693,0.00001847976,0.0000927357,0.9948483,0.0001109131,0.003228304],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08585112,"threshold_uncertainty_score":0.3391627,"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."}}