{"id":"W6901437447","doi":"10.6068/dp15df29d9b363","title":"Trend 1980 - 2015. Energy Information Administration. International Energy Statistics: Electricity | Country: Canada | Category: Exports | Series: Total Electricity Exports | Units: Metric Tons of Oil Equivalent, 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":"Electricity; Tonne; Renewable energy; Energy policy; Administration (probate law); Energy (signal processing); Production (economics); Agency (philosophy)","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":[0.00124693,0.001863999,0.002050535,0.006711094,0.001745862,0.00402087,0.003337096,0.001154599,0.0501191],"category_scores_gemma":[0.01120379,0.001209009,0.001371299,0.02997526,0.0005584885,0.002757747,0.001681401,0.002898915,0.05462217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01727456,"about_ca_system_score_gemma":0.03753423,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.930004,"about_ca_topic_score_gemma":0.9206975,"domain_scores_codex":[0.9977368,0.000130444,0.0002410433,0.0003377555,0.001076131,0.0004777813],"domain_scores_gemma":[0.983465,0.0006314547,0.0006455012,0.000751485,0.0138789,0.0006277174],"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":[0.00001848701,0.000006846806,0.0007385054,0.0001829289,0.00001698497,0.000005220452,0.00001103739,0.0001111433,0.00001311092,0.0003723337,0.9973743,0.001149075],"study_design_scores_gemma":[0.00008567194,0.000008203108,0.01428509,0.0004856873,0.0000336606,0.00001548354,0.0002121133,0.0003315854,0.0002148377,0.000618254,0.9836662,0.00004316479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004346859,0.00002951941,0.00001394365,0.00004537376,0.00001959206,0.000006252368,0.9992625,0.00004424838,0.0005349885],"genre_scores_gemma":[0.0002725557,0.00007004859,0.00009359397,0.00002946815,0.000007210209,0.00002936797,0.9984543,0.0000344652,0.001009004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.069996,"threshold_uncertainty_score":0.1676651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458779395553693,"score_gpt":0.2710565305995382,"score_spread":0.2464687366440013,"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."}}