{"id":"W6976529878","doi":"10.6068/dp15df28cd0cb58","title":"Trend 1980 - 2015. Energy Information Administration. International Energy Statistics: Electricity | Country: Canada | Category: Generation | Series: Nuclear Electricity Net Generation | Units: Btu, 1980-2015. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-015-003.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Utopian, Dystopian, and Speculative Fiction","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity generation; Electricity; Renewable energy; Energy policy; Energy (signal processing); Production (economics); Energy subsidies; Agency (philosophy); Administration (probate law)","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003110294,0.0007090408,0.0006590838,0.0002727115,0.0007896636,0.001736307,0.001555013,0.0004691028,0.007526318],"category_scores_gemma":[0.00005518689,0.0007055932,0.000001812504,0.00005485053,0.0002437453,0.002157723,0.0002372528,0.0004887484,0.000195426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003307511,"about_ca_system_score_gemma":0.00138484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9698264,"about_ca_topic_score_gemma":0.9768387,"domain_scores_codex":[0.9962301,0.0003350694,0.0009649391,0.0008970354,0.001016865,0.0005560076],"domain_scores_gemma":[0.9963175,0.0001071697,0.001334062,0.00183836,0.0001549815,0.0002479208],"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":[0.00004542223,0.0000429248,0.000001139246,0.00004715693,0.0001781134,0.00002582643,0.00002051683,0.00001222018,0.000008887592,0.3970121,0.6020287,0.0005770235],"study_design_scores_gemma":[0.0004729121,0.0001930628,0.000002386061,0.00001202123,0.0001998672,0.00005481215,0.00005803083,0.03434693,8.019209e-7,0.000004020532,0.9638949,0.0007602589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001639633,0.0002201241,0.0005432376,0.00002612827,0.002474747,0.0003051759,0.9696799,0.000145035,0.02660404],"genre_scores_gemma":[0.0002406288,0.001796992,0.00009380915,0.0004367823,0.003297101,0.00002868742,0.9305735,0.0001310986,0.06340139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3970081,"threshold_uncertainty_score":0.9995395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03484745918463035,"score_gpt":0.2458143695616692,"score_spread":0.2109669103770389,"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."}}