{"id":"W6976713374","doi":"10.6068/dp15e731846ea39","title":"Trend 1980 - 2014. Energy Information Administration. International Energy Statistics: Petroleum | Country: Canada | Category: Consumption | Series: Consumption Residual Fuel Oil | Units: Btu, 1980-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-015-006.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Historical Geography and Geographical Thought","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum; Energy consumption; Consumption (sociology); Energy policy; Agency (philosophy); Energy (signal processing); Production (economics); Administration (probate law); Energy security","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":[0.001217319,0.001937789,0.002156998,0.006744456,0.001704938,0.004072336,0.003353396,0.001289809,0.06247314],"category_scores_gemma":[0.01135512,0.001351289,0.001299925,0.03245889,0.0005777502,0.002958755,0.001714273,0.003101839,0.06495908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01646002,"about_ca_system_score_gemma":0.03783219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9186422,"about_ca_topic_score_gemma":0.904853,"domain_scores_codex":[0.9978814,0.0001269755,0.0002066252,0.0003137825,0.001036388,0.000434929],"domain_scores_gemma":[0.983809,0.000679102,0.0006408638,0.0007918435,0.01346896,0.0006102771],"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":[0.00001681152,0.000006665323,0.0006088736,0.0001642338,0.00001445203,0.00000427851,0.000009191815,0.0001093219,0.00001056512,0.0003305496,0.9976362,0.00108886],"study_design_scores_gemma":[0.00008651141,0.000007431363,0.011393,0.0004051542,0.00002885393,0.00001197399,0.0001884085,0.0002902848,0.0001847358,0.0005840611,0.9867805,0.00003902068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004125394,0.000027086,0.00001571482,0.00005387763,0.000019695,0.000006760305,0.9992187,0.0000451045,0.0005717599],"genre_scores_gemma":[0.0002749582,0.00008693927,0.000105664,0.00003215296,0.000008615709,0.00004135702,0.9980422,0.00004151085,0.001366571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08135778,"threshold_uncertainty_score":0.2089934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664410921057142,"score_gpt":0.2728525507157562,"score_spread":0.2462084415051848,"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."}}