{"id":"W6901522959","doi":"10.6068/dp14bace076c16","title":"Trend 1984 - 2010. Energy Information Administration. International Energy Statistics: Petroleum Imports | Country: Canada | Indicator: Imports of Crude Oil including Lease Condensate (Thousand Barrels Per Day), 1984-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-014-007.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petroleum; Jet fuel; Petroleum product; Lease; Energy security; Crude oil; Fuel oil; Synthetic crude; Energy policy; Tonne","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":[0.0009927682,0.001976732,0.001990601,0.006316109,0.001551782,0.003343142,0.002988539,0.001098628,0.03693523],"category_scores_gemma":[0.008036578,0.001172747,0.001412342,0.02687833,0.0004945787,0.001905531,0.001418369,0.002445193,0.03706277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01363575,"about_ca_system_score_gemma":0.02944544,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9377772,"about_ca_topic_score_gemma":0.9309166,"domain_scores_codex":[0.9983451,0.000097558,0.0001703035,0.0002886796,0.0007185935,0.0003796878],"domain_scores_gemma":[0.9889818,0.0004432037,0.0005817686,0.0004473197,0.009054886,0.0004909731],"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":[0.00003284203,0.00001095371,0.001554259,0.0002534474,0.00003004264,0.000009715521,0.00001346358,0.0001971441,0.00001636664,0.0003251051,0.996231,0.001325787],"study_design_scores_gemma":[0.0001437305,0.00001467212,0.02975586,0.0006005773,0.00005711555,0.00002666055,0.0003051895,0.0005684938,0.0002708996,0.0005304418,0.967667,0.0000591237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007280958,0.00003229622,0.0000118146,0.00003664205,0.00001252268,0.000005030391,0.9994246,0.00003323625,0.0003711076],"genre_scores_gemma":[0.0003663693,0.0000752691,0.00008175248,0.00002364394,0.00000557465,0.00002420988,0.998528,0.00002105019,0.0008740638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06222284,"threshold_uncertainty_score":0.1251785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435103672212809,"score_gpt":0.2672132762016384,"score_spread":0.2428622394795103,"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."}}