{"id":"W6958034554","doi":"10.6068/dp15df2a00a4c73","title":"Trend 1980 - 2014. Energy Information Administration. International Energy Statistics: Petroleum | Country: Canada | Category: Consumption | Series: Consumption of Distillate Fuel Oil | Units: Barrels Per Day, 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":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum; Energy consumption; Consumption (sociology); Energy policy; Energy (signal processing); Production (economics); Energy security; Administration (probate law); 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":[0.001242591,0.001954187,0.002139776,0.006976453,0.001609435,0.00387108,0.003411354,0.001229892,0.05274351],"category_scores_gemma":[0.01049914,0.001344825,0.001350612,0.03213357,0.0005626911,0.002717794,0.001676222,0.003013283,0.05574496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01594539,"about_ca_system_score_gemma":0.03529393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9092744,"about_ca_topic_score_gemma":0.8922059,"domain_scores_codex":[0.9978796,0.0001213203,0.0002146828,0.0003167476,0.001043544,0.0004241008],"domain_scores_gemma":[0.9844869,0.0006323815,0.0006729793,0.0007332125,0.0128772,0.0005973965],"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":[0.00001968493,0.000007740156,0.0007906223,0.0001889439,0.00001767918,0.000004908348,0.000009689933,0.0001236515,0.00001271116,0.0003442913,0.9972915,0.001188572],"study_design_scores_gemma":[0.00009603621,0.000008541349,0.0146322,0.0004317868,0.00003331814,0.00001365867,0.0001955758,0.0003144689,0.0002129013,0.0005694134,0.9834508,0.00004142438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004445751,0.00002747927,0.00001427159,0.0000479019,0.00001885506,0.000006419811,0.9992942,0.0000403918,0.0005060236],"genre_scores_gemma":[0.0002693487,0.00008163059,0.00009558028,0.00002911472,0.000008133765,0.00003632229,0.9983084,0.00003354092,0.001137871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0907256,"threshold_uncertainty_score":0.1825197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359269687241593,"score_gpt":0.2624497771546176,"score_spread":0.2388570802822017,"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."}}