{"id":"W6939069823","doi":"10.6068/dp15e737afb9c87","title":"Trend 2013 - 2014. Energy Information Administration. International Energy Statistics: Coal | Country: Canada | Category: Consumption | Series: Anthracite Consumption | 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":"Energy consumption; Anthracite; Consumption (sociology); Administration (probate law); Coal; Energy policy; Energy (signal processing); Agency (philosophy); Production (economics)","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":[0.001561531,0.001882575,0.002272646,0.006150103,0.00190265,0.004466802,0.003832939,0.001329595,0.0771224],"category_scores_gemma":[0.0132685,0.001322912,0.001538619,0.03086577,0.0005855195,0.002743564,0.001888614,0.003068904,0.07039353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01780127,"about_ca_system_score_gemma":0.04131049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9255665,"about_ca_topic_score_gemma":0.9179175,"domain_scores_codex":[0.9976029,0.0001671153,0.0002488693,0.0003466066,0.001135645,0.0004989136],"domain_scores_gemma":[0.9818955,0.0008579162,0.0006581765,0.0009783439,0.01482468,0.000785423],"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":[0.00001809162,0.000006053085,0.0004789526,0.0001545473,0.00001350494,0.000003503611,0.00000912239,0.0000890433,0.000009653209,0.0002770752,0.9979533,0.0009870233],"study_design_scores_gemma":[0.00009659434,0.000007141318,0.01000188,0.0004509448,0.00002935895,0.00001091206,0.0001977103,0.0003215472,0.0001841719,0.0006972312,0.9879577,0.00004477038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002886893,0.00002076404,0.00001694897,0.00005608286,0.00001917606,0.000007449186,0.9992877,0.00005238396,0.0005107732],"genre_scores_gemma":[0.00022428,0.00007163628,0.0001359847,0.00004213903,0.000008510033,0.0000483644,0.9981851,0.00005262945,0.001231338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0771224,"threshold_uncertainty_score":0.2580001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03372529854151853,"score_gpt":0.2783164236773336,"score_spread":0.244591125135815,"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."}}