{"id":"W6901757699","doi":"10.6068/dp15e737e2c7a60","title":"Trend 2013 - 2014. Energy Information Administration. International Energy Statistics: Coal | Country: Canada | Category: Exports | Series: Metallurgical Coal Exports | 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":"Coal; Administration (probate law); Agency (philosophy); Energy policy; Energy (signal processing); Production (economics); International comparisons; 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":[],"consensus_categories":[],"category_scores_codex":[0.001452421,0.001904955,0.002293337,0.006300115,0.001957527,0.00453905,0.003768861,0.001325387,0.0708489],"category_scores_gemma":[0.01230573,0.001311879,0.001487578,0.03033832,0.0005978033,0.002793067,0.001904297,0.003002448,0.06777291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01781493,"about_ca_system_score_gemma":0.0400959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9262969,"about_ca_topic_score_gemma":0.9193494,"domain_scores_codex":[0.9976315,0.0001533073,0.0002374198,0.0003534385,0.001118025,0.0005063163],"domain_scores_gemma":[0.9832977,0.0007546401,0.0006256875,0.000890373,0.0136949,0.0007367744],"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":[0.00001843111,0.000006158658,0.0004821404,0.0001492125,0.00001360446,0.000003800541,0.000008991672,0.00009577059,0.00001057612,0.0002818774,0.997956,0.0009733138],"study_design_scores_gemma":[0.0000939355,0.000007140394,0.00945978,0.000432238,0.00002815857,0.00001180746,0.0002008308,0.000352627,0.0002047904,0.0006935931,0.9884707,0.00004441699],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003120007,0.00002042207,0.00001582395,0.00005240239,0.00001813849,0.000006797278,0.9993026,0.00005303167,0.0004994992],"genre_scores_gemma":[0.0002203317,0.00006495977,0.0001214807,0.00003873528,0.000007709717,0.00004030118,0.9983015,0.00004826323,0.001156608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07370305,"threshold_uncertainty_score":0.2370132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646455943903864,"score_gpt":0.2638404018495528,"score_spread":0.2373758424105141,"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."}}