{"id":"W6957696270","doi":"10.6068/dp15e732d1b235","title":"Trend 1990 - 2013. Energy Information Administration. International Energy Statistics: Liquid Petroleum Gases and Ethane | Country: Canada | Category: Production | Series: LPG and Ethane Production | Units: Barrels Per Day, 1990-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-015-004.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Petroleum; Energy (signal processing); Administration (probate law); Energy policy; Liquefied petroleum gas; Agency (philosophy); Environmental impact of the energy industry","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":[0.001216244,0.002034644,0.002000179,0.005805796,0.001465629,0.003682609,0.003417136,0.00125077,0.05384176],"category_scores_gemma":[0.0095356,0.001194071,0.001399067,0.02655958,0.0005238134,0.002565019,0.00162799,0.002812656,0.06451438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01177703,"about_ca_system_score_gemma":0.02407487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8357391,"about_ca_topic_score_gemma":0.8087707,"domain_scores_codex":[0.9981183,0.0001265487,0.0001974573,0.0003285111,0.0008719613,0.0003572323],"domain_scores_gemma":[0.9875261,0.0006284913,0.0006437543,0.0007014762,0.009983703,0.0005166283],"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":[0.00002038609,0.000007570173,0.0006575115,0.0001901952,0.00001566987,0.000004507107,0.000008152791,0.0001243229,0.00001452807,0.0003007057,0.9975459,0.001110584],"study_design_scores_gemma":[0.00009002766,0.000008646542,0.01016532,0.0004080462,0.00002652393,0.00001276035,0.0001589848,0.0003102749,0.0002112174,0.0006125324,0.9879586,0.0000371408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003161674,0.00002248422,0.00001260289,0.00003836714,0.00001531999,0.000004823292,0.9994519,0.0000384199,0.0003843706],"genre_scores_gemma":[0.0002049313,0.00006201673,0.0000926604,0.00002768687,0.000006646559,0.00003028822,0.998767,0.00002906621,0.0007796987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1642609,"threshold_uncertainty_score":0.3304564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02241218162456015,"score_gpt":0.2532424365314266,"score_spread":0.2308302549068665,"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."}}