{"id":"W6901474681","doi":"10.6068/dp14ba82042c33","title":"Trend 1995 - 2012. Statistics Canada. CANSIM: Energy - Nuclear and Electric Power | Country: Canada | Table: Electricity generated from fossil fuels | Variable: Heavy fuel oil, Total industry and utilities | Units: Gigawatt hours, 1995-2012. 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":"Fossil fuel; Electricity generation; Electricity; Electric power industry; Economic statistics; Nuclear power; Energy security; Energy source; Electric power","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":[0.00169967,0.002351952,0.002698411,0.008929089,0.00322287,0.005199957,0.004787416,0.001538249,0.08851175],"category_scores_gemma":[0.01640762,0.001699592,0.00217081,0.04406877,0.0006645293,0.00270626,0.002194997,0.003061047,0.05186917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05803865,"about_ca_system_score_gemma":0.1373734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947922,"about_ca_topic_score_gemma":0.9927319,"domain_scores_codex":[0.9962701,0.0002211207,0.0003788834,0.0004701109,0.001743464,0.0009164087],"domain_scores_gemma":[0.9707372,0.001002486,0.0008677776,0.0008282003,0.02528994,0.001274317],"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":[0.00002148217,0.000005450265,0.000835536,0.000239162,0.00002143437,0.000007411307,0.00001800732,0.0001325934,0.000008617739,0.0004619012,0.9967249,0.001523392],"study_design_scores_gemma":[0.0001305129,0.000009628588,0.01795382,0.0008140032,0.0000708928,0.00002988685,0.0003948896,0.0004914766,0.0001887335,0.0007236532,0.9791133,0.00007919464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004884019,0.00006271552,0.00002392778,0.0001338206,0.00002894895,0.0000111322,0.9986498,0.0000560259,0.0009847881],"genre_scores_gemma":[0.001001629,0.0003897329,0.0003583133,0.0001656253,0.00002105588,0.00009941008,0.9932586,0.00013317,0.004572476],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08851175,"threshold_uncertainty_score":0.4211019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848769487952616,"score_gpt":0.2210654301817251,"score_spread":0.202577735302199,"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."}}