{"id":"W6901569857","doi":"10.6068/dp15df2f8645456","title":"Trend 1990 - 2013. Energy Information Administration. International Energy Statistics: Liquid Petroleum Gases and Ethane | Country: Canada | Category: Consumption | Series: LPG and Ethane Consumption | 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":"Energy consumption; Consumption (sociology); Petroleum; Liquefied petroleum gas; Energy policy; Production (economics); Energy (signal processing); Agency (philosophy); Administration (probate law)","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":[0.001193197,0.002010654,0.002005637,0.005836011,0.001470994,0.003582493,0.003394166,0.001217581,0.05252774],"category_scores_gemma":[0.009293868,0.001187321,0.001415781,0.02711936,0.000515513,0.002436935,0.001608704,0.002797998,0.06161207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01227555,"about_ca_system_score_gemma":0.02543388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8586575,"about_ca_topic_score_gemma":0.8385925,"domain_scores_codex":[0.9981603,0.0001217134,0.000190632,0.0003128434,0.0008585559,0.0003560616],"domain_scores_gemma":[0.987615,0.0005936107,0.0006160199,0.0006575085,0.01000501,0.0005128701],"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":[0.00002100874,0.000007696004,0.0007025696,0.000197259,0.00001635766,0.000004634095,0.000008806396,0.0001187092,0.00001403885,0.0002920892,0.9974756,0.001141393],"study_design_scores_gemma":[0.00009364915,0.000009108415,0.01177903,0.0004326202,0.00002882775,0.00001327771,0.0001758247,0.0003038002,0.0002089791,0.0005873807,0.986329,0.0000385485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003364908,0.00002327586,0.00001232258,0.0000382123,0.0000150189,0.000005117818,0.9994478,0.00003672221,0.0003879396],"genre_scores_gemma":[0.0002134278,0.00006460711,0.00009329162,0.00002833714,0.000006695648,0.00003197195,0.9987146,0.00002844881,0.0008186256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1413425,"threshold_uncertainty_score":0.2843498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049576937467432,"score_gpt":0.2690938070814511,"score_spread":0.2385980377067768,"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."}}