{"id":"W6920161560","doi":"10.6068/dp15df2ded2a713","title":"Trend 1980 - 2014. Energy Information Administration. International Energy Statistics: Coal | Country: Canada | Category: CO2 Emissions | Series: CO2 Emissions from Coal | Units: Metric Tons, 1980-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 004-015-002.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; Tonne; Energy (signal processing); Administration (probate law); Energy policy; Agency (philosophy); Production (economics); Coal mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0007829791,0.001759468,0.001825012,0.0008290802,0.0008533064,0.001765784,0.0076539,0.001377603,0.02402939],"category_scores_gemma":[0.0006081419,0.001725604,0.000002910209,0.0002405941,0.0007752265,0.002604273,0.002124911,0.001361093,0.003172755],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006979899,"about_ca_system_score_gemma":0.009556103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939514,"about_ca_topic_score_gemma":0.9612887,"domain_scores_codex":[0.9903118,0.0008503778,0.002286528,0.002140267,0.003065488,0.00134551],"domain_scores_gemma":[0.9854045,0.001816035,0.003550422,0.007402819,0.0002081965,0.001618018],"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":[0.0004817806,0.0002001385,0.00002685766,0.0001755718,0.00108329,0.0005624141,0.000006632909,0.00004203678,0.00001115804,0.01596339,0.9811226,0.000324191],"study_design_scores_gemma":[0.001564137,0.0001685415,0.00001377525,0.0001178881,0.000875541,0.0003462647,0.0002668171,0.005293733,9.293504e-7,0.00000474849,0.9894668,0.001880786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.056089e-7,0.001673152,0.0004021744,0.00002164054,0.002461529,0.0005476622,0.976905,0.0003921081,0.01759651],"genre_scores_gemma":[0.0002019429,0.003394343,0.0005354697,0.0003854193,0.0009889927,0.0001069329,0.9847085,0.0005728014,0.009105563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0326627,"threshold_uncertainty_score":0.9999188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02596056666357925,"score_gpt":0.271590625038544,"score_spread":0.2456300583749648,"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."}}