{"id":"W6901875233","doi":"10.6068/dp15e6e44d66099","title":"Trend 1980 - 2016. Energy Information Administration. International Energy Statistics: Petroleum | Country: Canada | Category: Production | Series: Production of Natural Gas Plant Liquids | Units: Barrels Per Day, 1980-2016. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-015-006.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum; Production (economics); Energy policy; Energy (signal processing); Agency (philosophy); Administration (probate law); Natural 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":[0.001149261,0.002067712,0.002157692,0.006682639,0.00158561,0.004039027,0.00331208,0.001219768,0.05433998],"category_scores_gemma":[0.01026586,0.001301909,0.001318498,0.03130586,0.0005739418,0.002914009,0.001694761,0.002958314,0.06056235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0158649,"about_ca_system_score_gemma":0.03451057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9092875,"about_ca_topic_score_gemma":0.8862199,"domain_scores_codex":[0.9979224,0.0001096425,0.0002128724,0.0003142008,0.001032864,0.0004082054],"domain_scores_gemma":[0.985185,0.0005863554,0.0006597992,0.0007283836,0.01224872,0.000591665],"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":[0.00002220155,0.000007923088,0.0007670409,0.0002097382,0.00001710462,0.000005716198,0.000009875199,0.0001425258,0.00001485993,0.0003683654,0.9971621,0.001272494],"study_design_scores_gemma":[0.00008808528,0.00000789125,0.01204543,0.0004315934,0.00002761186,0.00001375332,0.0001758059,0.0002972867,0.0002292767,0.0005984214,0.9860458,0.00003906413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003994349,0.00002793639,0.00001280178,0.00004384311,0.00001833482,0.000005578627,0.99933,0.00004071072,0.0004808994],"genre_scores_gemma":[0.0002684591,0.00009166775,0.00008731687,0.00002725479,0.00000823935,0.00003115672,0.9983073,0.00003568782,0.001142819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09071255,"threshold_uncertainty_score":0.1824935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168859167093469,"score_gpt":0.2434180391209549,"score_spread":0.2265321224116079,"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."}}