{"id":"W6901647903","doi":"10.6068/dp15df2f69ec596","title":"Trend 1987 - 2013. Energy Information Administration. International Energy Statistics: Liquid Petroleum Gases and Ethane | Country: Canada | Category: Imports | Series: LPG Imports | Units: Barrels Per Day, 1987-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-015-004.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum; Administration (probate law); Energy (signal processing); Agency (philosophy); Energy policy; Liquefied petroleum gas; Production (economics); Petroleum product","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":[0.001140659,0.001992528,0.002020193,0.00649167,0.001656834,0.003756441,0.003320751,0.001198808,0.050779],"category_scores_gemma":[0.008519625,0.001235854,0.001300352,0.028767,0.000575021,0.002353376,0.001505283,0.002828724,0.05881105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01429471,"about_ca_system_score_gemma":0.02979036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8876135,"about_ca_topic_score_gemma":0.8735223,"domain_scores_codex":[0.9981495,0.0001098385,0.0001710769,0.0002826635,0.0009218488,0.0003650608],"domain_scores_gemma":[0.9874287,0.0005611767,0.0006059232,0.0006110419,0.01028321,0.0005098175],"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":[0.0000197169,0.000008146808,0.0006890702,0.0001782605,0.00001492511,0.000005065719,0.000009005937,0.0001379751,0.00001327867,0.0003266694,0.997529,0.001068902],"study_design_scores_gemma":[0.00008269712,0.000008011676,0.0117784,0.0004091604,0.00002617041,0.00001302626,0.0001865463,0.0003284977,0.0002319913,0.0005536901,0.9863452,0.00003667256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004158734,0.0000258922,0.00001366179,0.00003978155,0.00001549356,0.000005402058,0.9993673,0.00003768895,0.0004531704],"genre_scores_gemma":[0.0002302634,0.0000684092,0.00008877334,0.00002417519,0.000006622576,0.00002802171,0.9986123,0.00002711594,0.0009142612],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1123865,"threshold_uncertainty_score":0.2260967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249144347687124,"score_gpt":0.2322886590661413,"score_spread":0.2197972155892701,"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."}}