{"id":"W6939215206","doi":"10.6068/dp14bacef45611","title":"Trend 1990 - 2012. Energy Information Administration. International Energy Statistics: Natural Gas Imports | Country: Canada | Indicator: Imports of Dry Natural Gas (Billion Cubic Feet), 1990-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-014-014.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural gas; Primary energy; Energy policy; Production (economics); Fossil fuel; Coal; Energy source; Energy security; Liquefied natural gas","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":[0.001149345,0.002079007,0.002167617,0.006205705,0.001558272,0.003827809,0.003219093,0.001176454,0.04570653],"category_scores_gemma":[0.009172226,0.001269006,0.001541054,0.02792064,0.0004995294,0.002307655,0.00154431,0.002702588,0.04679501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01473816,"about_ca_system_score_gemma":0.03152791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9367714,"about_ca_topic_score_gemma":0.9277723,"domain_scores_codex":[0.9982437,0.000107881,0.0001844447,0.0003181798,0.0007681263,0.0003777214],"domain_scores_gemma":[0.9868216,0.0005294796,0.0005775751,0.0005671416,0.01095166,0.0005524936],"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":[0.00002628822,0.000008682729,0.000951599,0.0002470307,0.00002404609,0.00000665125,0.00001152781,0.0001431298,0.00001327851,0.0002973069,0.9970101,0.001260239],"study_design_scores_gemma":[0.0001245086,0.00001126276,0.01889622,0.0005951599,0.00004567544,0.00002122671,0.0002312703,0.0004542741,0.000218777,0.0005731831,0.9787766,0.00005176051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004425646,0.00003115019,0.00001153733,0.00003755582,0.00001310105,0.000005323343,0.9994116,0.00004008718,0.0004053591],"genre_scores_gemma":[0.0002861496,0.00007444384,0.00009288138,0.00003021618,0.000006054772,0.00002857671,0.9986219,0.00002907524,0.0008307436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06322861,"threshold_uncertainty_score":0.1529036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380147554317585,"score_gpt":0.2520899501472766,"score_spread":0.2382884746041008,"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."}}