{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000535862,0.0006290543,0.0005600676,0.0003352876,0.0002702244,0.001117819,0.003390855,0.0004342298,0.0006040117],"category_scores_gemma":[0.0002188622,0.0005950983,9.996081e-7,0.00008253655,0.0003897001,0.003402258,0.001021315,0.0004382522,0.0001369673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577436,"about_ca_system_score_gemma":0.001615406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.805779,"about_ca_topic_score_gemma":0.6117406,"domain_scores_codex":[0.9960784,0.0002436033,0.0008238074,0.001383572,0.0009920531,0.0004785321],"domain_scores_gemma":[0.994086,0.0001849548,0.001361692,0.004047656,0.0001067618,0.0002128973],"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":[0.00009585203,0.00004978748,0.000004193696,0.0001386643,0.0001287042,0.00002722361,0.000005210713,0.00001166394,0.00002239455,0.04977327,0.9466164,0.003126665],"study_design_scores_gemma":[0.0002792322,0.0001958401,0.000007290162,0.00003211713,0.00008670642,0.0002280118,0.00008106103,0.001617275,0.00000795411,0.00000829601,0.9968082,0.000647994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[5.420658e-7,0.000875846,0.002809981,0.0002418216,0.002579214,0.0002796714,0.9906467,0.0004031887,0.002163055],"genre_scores_gemma":[0.0004501569,0.004794335,0.0008748997,0.0001373588,0.0005248929,0.00008319117,0.9863127,0.00007092254,0.006751539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1940385,"threshold_uncertainty_score":0.9999191,"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."}}