{"id":"W6976836217","doi":"10.6068/dp14ba7b712f082","title":"Trend 1995 - 2012. Statistics Canada. CANSIM: Energy - Nuclear and Electric Power | Country: Canada | Table: Electricity generated from fossil fuels | Variable: Coal, 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":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity generation; Electricity; Fossil fuel; Electric power industry; Economic statistics; Nuclear power; Energy security; Hydroelectricity; 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":[0.001779821,0.002302544,0.002663776,0.009109883,0.003302212,0.005180811,0.004772771,0.001530192,0.09694561],"category_scores_gemma":[0.01721679,0.001708408,0.002145808,0.04428196,0.0006576847,0.002672062,0.002180758,0.003041173,0.05380716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05762024,"about_ca_system_score_gemma":0.1415488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946872,"about_ca_topic_score_gemma":0.992539,"domain_scores_codex":[0.9961204,0.0002400449,0.000399422,0.0004885269,0.001817063,0.0009344792],"domain_scores_gemma":[0.9690553,0.001090101,0.0009178483,0.0008964753,0.02670642,0.001333818],"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":[0.00002190445,0.000005580749,0.0008319678,0.0002442633,0.00002207016,0.000007346089,0.00001898862,0.0001331775,0.000008556074,0.0004862413,0.9966012,0.00161867],"study_design_scores_gemma":[0.0001306054,0.00000977081,0.01760915,0.0008211703,0.00007055328,0.00002930865,0.0003993345,0.0004921381,0.0001822094,0.0007733145,0.9794028,0.00007953941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004928105,0.00006122664,0.0000259905,0.0001370181,0.00002883555,0.00001236308,0.9985703,0.00005877674,0.001056166],"genre_scores_gemma":[0.001016192,0.0003818398,0.0003896072,0.0001718235,0.00002133744,0.0001102621,0.9928993,0.0001431946,0.004866401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09694561,"threshold_uncertainty_score":0.4180661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380930089696941,"score_gpt":0.2138340487714614,"score_spread":0.200024747874492,"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."}}