{"id":"W6976783681","doi":"10.6068/dp15e737dc83c38","title":"Trend 2013 - 2014. Energy Information Administration. International Energy Statistics: Coal | Country: Canada | Category: Imports | Series: Secondary Coal Imports | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coal; Administration (probate law); Energy policy; Agency (philosophy); Energy (signal processing); Production (economics); International comparisons; CONQUEST","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":[0.001534447,0.001893701,0.002280412,0.006301211,0.001982354,0.004818434,0.003763257,0.001332626,0.07649708],"category_scores_gemma":[0.01308237,0.001330873,0.001494401,0.03023183,0.0006051476,0.002904742,0.001946067,0.003098279,0.07288738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01795428,"about_ca_system_score_gemma":0.04106601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9218225,"about_ca_topic_score_gemma":0.9173484,"domain_scores_codex":[0.9975773,0.0001618205,0.0002405733,0.0003614241,0.001154637,0.0005043742],"domain_scores_gemma":[0.9823076,0.0008204899,0.0006499901,0.0009715934,0.01448063,0.0007696609],"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":[0.00001703264,0.000005837208,0.000458702,0.0001414419,0.00001321817,0.000003578164,0.00000894504,0.00009202694,0.000009685102,0.0002919786,0.997971,0.0009865323],"study_design_scores_gemma":[0.00008615088,0.000006538478,0.008618253,0.0004210169,0.0000266499,0.00001106087,0.0001905244,0.0003347385,0.0001862402,0.0007035834,0.9893729,0.00004243636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003147058,0.00002236213,0.00001843274,0.00005812604,0.00001982532,0.000007500875,0.9992112,0.00006040544,0.0005706144],"genre_scores_gemma":[0.0002295158,0.0000698887,0.0001403576,0.00004182497,0.000008330133,0.00004394222,0.9981648,0.00005601514,0.001245271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07817745,"threshold_uncertainty_score":0.2559082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796477497430655,"score_gpt":0.2510690806723841,"score_spread":0.2331043056980776,"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."}}