{"id":"W6920534003","doi":"10.6068/dp15df29733de84","title":"Trend 1980 - 2015. Energy Information Administration. International Energy Statistics: Electricity | Country: Canada | Category: Generation | Series: Total Renewable Electricity Net Generation | Units: Kilowatthours, 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Electricity generation; Feed-in tariff; Energy policy; Electricity; Energy subsidies; Production (economics); Energy development","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":[0.001274269,0.00186426,0.002090202,0.006582967,0.001733417,0.004218502,0.003365526,0.001188005,0.0528433],"category_scores_gemma":[0.01145682,0.001241661,0.001339106,0.03106037,0.0005747502,0.002822029,0.001661372,0.0030434,0.0541204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01835714,"about_ca_system_score_gemma":0.03881938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9306585,"about_ca_topic_score_gemma":0.9164313,"domain_scores_codex":[0.9976676,0.0001341221,0.0002494013,0.000335937,0.001144901,0.0004679566],"domain_scores_gemma":[0.9828976,0.0006882495,0.0006624442,0.0007935136,0.01431859,0.0006396521],"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":[0.00001708235,0.000007003666,0.0006801992,0.0001706386,0.00001590873,0.000004875648,0.00001010556,0.0001217247,0.00001142186,0.0003748664,0.9974483,0.001137759],"study_design_scores_gemma":[0.0000875952,0.000007622682,0.01315098,0.0004615329,0.00003193244,0.00001395726,0.0002093305,0.0003370367,0.0002103196,0.0006175222,0.9848305,0.00004163632],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004339418,0.00003000105,0.00001498695,0.00005128331,0.00002091517,0.000006670694,0.9992288,0.00004453506,0.0005593596],"genre_scores_gemma":[0.0003084725,0.00008426938,0.00009912773,0.00003403015,0.000009034324,0.00003493553,0.9982522,0.00003866096,0.00113914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06934154,"threshold_uncertainty_score":0.1767784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712640805620645,"score_gpt":0.2627728218558726,"score_spread":0.2356464137996662,"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."}}