{"id":"W6958060655","doi":"10.6068/dp15e731d26db3","title":"Most Recent Data (1980). Energy Information Administration. International Energy Statistics: Petroleum | Country: Canada | Category: Consumption | Series: Consumption of Other Petroleum Products | Units: metric tons, 1980. 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; Energy consumption; Consumption (sociology); Energy policy; Agency (philosophy); Tonne; Energy (signal processing); Production (economics)","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":[0.001236492,0.001947894,0.002183024,0.00734486,0.001978932,0.004356647,0.003562927,0.001459007,0.07791525],"category_scores_gemma":[0.01253406,0.001364179,0.001332713,0.03904878,0.0006382016,0.002911942,0.001735335,0.003356743,0.1021853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01610195,"about_ca_system_score_gemma":0.03252627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8702206,"about_ca_topic_score_gemma":0.850498,"domain_scores_codex":[0.9974825,0.0001408188,0.0002757235,0.0003569979,0.001250664,0.0004932885],"domain_scores_gemma":[0.9785242,0.001037509,0.0007529231,0.0009995875,0.01797834,0.0007074182],"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":[0.00001308921,0.000006758221,0.0004319894,0.0001855214,0.000009354217,0.000003926948,0.000007929642,0.00008081079,0.00001016589,0.0002479179,0.9980726,0.0009297944],"study_design_scores_gemma":[0.00006486259,0.000005540342,0.009363875,0.0003744673,0.00001866073,0.000009683959,0.0001588177,0.0001277003,0.000135482,0.0004419561,0.9892686,0.00003032349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002737241,0.00002330229,0.000009867346,0.00003983054,0.00001347306,0.000005742622,0.9992907,0.00002971471,0.0005599151],"genre_scores_gemma":[0.0001950022,0.00008523645,0.0000866863,0.00003248189,0.000007432296,0.00003935357,0.9983588,0.0000306332,0.001164469],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1297794,"threshold_uncertainty_score":0.2610874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04102895147639605,"score_gpt":0.2768174581800188,"score_spread":0.2357885067036228,"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."}}