{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001330829,0.001869132,0.00211445,0.006508983,0.001781211,0.00397464,0.003473695,0.001267792,0.05389998],"category_scores_gemma":[0.01144311,0.001328852,0.001444543,0.02970305,0.0005724083,0.002762303,0.001697267,0.00307719,0.05420912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01698362,"about_ca_system_score_gemma":0.03835211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9163222,"about_ca_topic_score_gemma":0.8997821,"domain_scores_codex":[0.9976618,0.0001454044,0.0002360856,0.0003433415,0.001139694,0.0004736552],"domain_scores_gemma":[0.9836573,0.0006946144,0.0006190222,0.0007752799,0.01363886,0.000614896],"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":[0.00001950393,0.000007696308,0.0007011997,0.000196565,0.00001819201,0.000004854717,0.00001044716,0.0001253496,0.00001440392,0.0003758687,0.9973665,0.001159423],"study_design_scores_gemma":[0.00008808543,0.000007700343,0.01214483,0.000445363,0.00003357802,0.00001285738,0.0001960122,0.0003133401,0.0002217327,0.000614503,0.9858801,0.00004189606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004051113,0.00002716997,0.00001545857,0.00005089061,0.00002063388,0.000006734409,0.9992573,0.00004476094,0.0005364967],"genre_scores_gemma":[0.0002750042,0.00007581406,0.0001123681,0.00003311171,0.000007963477,0.00003938948,0.998338,0.00003989493,0.001078535],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9461,"threshold_uncertainty_score":0.1803134,"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."}}