{"id":"W6920332172","doi":"10.6068/dp15e7374a9e642","title":"Trend 1980 - 2014. Energy Information Administration. International Energy Statistics: Coal | Country: Canada | Category: Exports | Series: Primary Coal Exports | Units: Metric Tons of Oil Equivalent, 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; Administration (probate law); Energy policy; Energy (signal processing); Agency (philosophy); Production (economics); Primary energy; Metric (unit)","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":[0.001269459,0.001895103,0.002147476,0.007153371,0.001829464,0.00402159,0.00352643,0.001205676,0.05413077],"category_scores_gemma":[0.01141132,0.001309198,0.001383566,0.03179628,0.0005664317,0.002693013,0.001746755,0.002959892,0.05456244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01783809,"about_ca_system_score_gemma":0.04044142,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9294294,"about_ca_topic_score_gemma":0.9184663,"domain_scores_codex":[0.9976888,0.0001303374,0.0002346621,0.0003373717,0.001114415,0.0004944838],"domain_scores_gemma":[0.9828476,0.0006784305,0.0006800189,0.0007670211,0.01437095,0.0006560278],"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":[0.00001943702,0.000007391502,0.0007316496,0.0001918403,0.00001782429,0.000005010229,0.00001114534,0.000112074,0.00001333225,0.0003576513,0.9973888,0.001143795],"study_design_scores_gemma":[0.00009056822,0.000008289535,0.01396672,0.0004707705,0.00003517414,0.00001425869,0.0002129063,0.000302055,0.0002131005,0.0005863453,0.9840572,0.00004263359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004265048,0.00002691318,0.00001313198,0.00004639766,0.00001846947,0.000006347862,0.9992827,0.00004213293,0.0005213882],"genre_scores_gemma":[0.0002613885,0.0000713609,0.00009596077,0.00002957702,0.000007160977,0.00003426641,0.9983464,0.00003511199,0.001118779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07057059,"threshold_uncertainty_score":0.1810855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709026906599169,"score_gpt":0.263129519172398,"score_spread":0.2360392501064063,"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."}}