{"id":"W6938964270","doi":"10.6068/dp14ba8b546cf14","title":"Trend 2006 - 2011. Statistics Canada. CANSIM: Energy - Nuclear and Electric Power | Country: Canada | Table: Conventional thermal generating capacity, by class of electricity producer and principal fuel | Variable: Conventional steam turbine, Electricity producer, electric utilities, Other principal fuels | Units: Kilowatts, 2006-2011. 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":"Electricity generation; Electricity; Hydroelectricity; Electric power; Economic statistics; Electric power industry; Nuclear power; Energy security; Electric utility","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":[0.001514833,0.00228423,0.002379503,0.007762475,0.003047098,0.004619338,0.004556888,0.001401679,0.0885663],"category_scores_gemma":[0.01537032,0.001479827,0.001957508,0.03755546,0.0006278603,0.002437545,0.002039723,0.002817846,0.05295452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04333575,"about_ca_system_score_gemma":0.1002871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9926945,"about_ca_topic_score_gemma":0.9913644,"domain_scores_codex":[0.9967866,0.000203585,0.0003284441,0.0004467304,0.001483412,0.0007512963],"domain_scores_gemma":[0.9757165,0.0009428479,0.0007637825,0.0008040116,0.02068883,0.001083979],"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":[0.00002028635,0.000005025301,0.0008555951,0.0002234899,0.00001887662,0.000007732982,0.00001684792,0.0001352576,0.000009077396,0.0004019643,0.9969053,0.001400516],"study_design_scores_gemma":[0.0001193009,0.000008581411,0.01534858,0.0007144758,0.00005794638,0.00002817557,0.0003576246,0.0004933223,0.0001689748,0.0006949101,0.9819362,0.00007186492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004422991,0.00004920064,0.00002293797,0.00009596928,0.00002240129,0.000007809992,0.9989578,0.00005088803,0.0007486875],"genre_scores_gemma":[0.0007486144,0.0002566231,0.0003032362,0.0001120959,0.0000155842,0.00006845785,0.9954321,0.0001013848,0.002961819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0885663,"threshold_uncertainty_score":0.3144243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021539693830833,"score_gpt":0.2240417731639376,"score_spread":0.2038263762256292,"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."}}