{"id":"W6957941294","doi":"10.6068/dp15df304bf0d75","title":"Trend 1980 - 2014. Energy Information Administration. International Energy Statistics: Liquid Petroleum Gases and Ethane | Country: Canada | Category: Production | Series: LPG Production (nonrefinery) | Units: Barrels Per Day, 1980-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-015-004.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Petroleum; Energy (signal processing); Administration (probate law); Energy policy; Agency (philosophy); Liquefied petroleum gas; 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":[0.00107739,0.002098809,0.002037308,0.006446682,0.001452215,0.003800916,0.003515156,0.001243095,0.05716369],"category_scores_gemma":[0.008792206,0.00125279,0.00136113,0.02743217,0.0005452106,0.002650857,0.001626966,0.002697505,0.06680691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01257641,"about_ca_system_score_gemma":0.0251565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8422721,"about_ca_topic_score_gemma":0.8164086,"domain_scores_codex":[0.9981693,0.000104549,0.0001814004,0.0003176295,0.0008834598,0.0003436189],"domain_scores_gemma":[0.9875316,0.0005670415,0.0006301624,0.0006654474,0.01010912,0.0004966679],"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":[0.0000217316,0.000008680417,0.0007657709,0.0002032967,0.00001823736,0.00000515725,0.000008549376,0.0001522083,0.00001693486,0.0003409997,0.9972409,0.001217459],"study_design_scores_gemma":[0.00008870154,0.000008890195,0.01063937,0.0003722011,0.00002686712,0.00001202207,0.0001534325,0.0002932833,0.0002360295,0.0005207123,0.9876123,0.00003630167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003986276,0.00002335335,0.00001277603,0.00003564443,0.00001654346,0.000005064276,0.9993498,0.00004115517,0.0004759153],"genre_scores_gemma":[0.000223813,0.00006403691,0.00007850472,0.00002273444,0.00000695198,0.0000290931,0.9985581,0.00002915463,0.0009876724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1577279,"threshold_uncertainty_score":0.3173136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02191570260626464,"score_gpt":0.2490376631185327,"score_spread":0.2271219605122681,"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."}}