{"id":"W6976409000","doi":"10.6068/dp15e73737e2580","title":"Trend 2013 - 2014. Energy Information Administration. International Energy Statistics: Coal | Country: Canada | Category: Exports | Series: Metallurgical Coal Exports | Units: Btu, 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":"Trypanosoma species research and implications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; Administration (probate law); Agency (philosophy); Energy (signal processing); Energy policy; CONQUEST; Production (economics); International comparisons","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":[0.001539213,0.001900258,0.002318864,0.006479217,0.001986493,0.004708122,0.00378903,0.001335757,0.07587854],"category_scores_gemma":[0.01336401,0.001326294,0.001481458,0.03142377,0.0006030354,0.002866123,0.001955555,0.003048591,0.07137454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01775329,"about_ca_system_score_gemma":0.04108397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9224964,"about_ca_topic_score_gemma":0.915759,"domain_scores_codex":[0.9975179,0.0001659948,0.0002534116,0.0003641183,0.001168703,0.0005298906],"domain_scores_gemma":[0.9822465,0.000846797,0.0006797923,0.0009761177,0.01446482,0.0007859151],"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":[0.0000172202,0.000005689048,0.0004449296,0.0001429582,0.00001282069,0.000003540231,0.000008817162,0.00008871272,0.000009573795,0.0002822562,0.9980351,0.000948309],"study_design_scores_gemma":[0.00009097868,0.000006871397,0.008993899,0.0004352725,0.00002738655,0.00001138557,0.0001957189,0.0003257345,0.0001882715,0.0007085995,0.9889725,0.00004332441],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002949965,0.00002069746,0.00001636033,0.00005572727,0.00001852098,0.000006946043,0.9992833,0.00005415848,0.0005148891],"genre_scores_gemma":[0.000219359,0.00006786235,0.0001269965,0.00004104704,0.000008130325,0.00004412907,0.9982126,0.00005260821,0.001227361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07750356,"threshold_uncertainty_score":0.253839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.031614867025994,"score_gpt":0.2874811840151936,"score_spread":0.2558663169891996,"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."}}