{"id":"W6920341930","doi":"10.6068/dp15e7375a7a497","title":"Trend 2013 - 2014. Energy Information Administration. International Energy Statistics: Coal | Country: Canada | Category: Consumption | Series: Anthracite Consumption | Units: Short Tons, 2013-2014. 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":"Energy consumption; Consumption (sociology); Anthracite; Administration (probate law); Energy policy; Coal; Energy (signal processing); Agency (philosophy)","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":[0.001473031,0.001899519,0.002253798,0.006042007,0.001893666,0.004342112,0.003809529,0.00132421,0.07250144],"category_scores_gemma":[0.01225697,0.001313233,0.001550571,0.02990879,0.0005863322,0.002704887,0.001851826,0.003029861,0.06809697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01784584,"about_ca_system_score_gemma":0.04041455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9289096,"about_ca_topic_score_gemma":0.9212705,"domain_scores_codex":[0.9976972,0.0001545785,0.0002346388,0.0003396988,0.001093495,0.0004803583],"domain_scores_gemma":[0.9829045,0.0007677015,0.0006043062,0.0008966724,0.01409161,0.000735279],"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":[0.00001914458,0.000006488674,0.0005086425,0.0001595154,0.00001414235,0.000003771004,0.00000925444,0.00009603782,0.00001073366,0.0002766777,0.9978911,0.001004449],"study_design_scores_gemma":[0.00009841673,0.000007303676,0.01027393,0.0004424783,0.00002974348,0.0000113197,0.0002023158,0.0003477232,0.0002016438,0.0006828886,0.9876567,0.00004564611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003034476,0.0000203357,0.00001637574,0.00005262386,0.00001882034,0.000007205396,0.9993049,0.00005196427,0.0004975113],"genre_scores_gemma":[0.000222325,0.00006765396,0.0001292326,0.00003938757,0.000008008034,0.00004343799,0.9982831,0.0000487389,0.001158146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07250144,"threshold_uncertainty_score":0.2425415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03517166859874504,"score_gpt":0.2837566866985431,"score_spread":0.248585018099798,"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."}}