{"id":"W6901592296","doi":"10.6068/dp14baa3cec8861","title":"Trend 2005 - 2012. Statistics Canada. CANSIM: Energy - Energy Consumption and Disposition | Country: Canada | Province: Northwest Territories | Table: Fuel consumed for electric power generation, by electric utility thermal plants | Variable: Diesel | Units: (kilolitres), 2005-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-078.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy consumption; Consumption (sociology); Official statistics; Economic statistics; Electric utility; Descriptive statistics; Electric power; Statistical inference; Energy security","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":[0.001719228,0.002227524,0.002658267,0.007875,0.002929934,0.004604904,0.0046757,0.001370901,0.09504946],"category_scores_gemma":[0.01471575,0.001617716,0.002146808,0.04059743,0.0006010603,0.002499211,0.002156386,0.00286279,0.05656091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04807495,"about_ca_system_score_gemma":0.1207361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936236,"about_ca_topic_score_gemma":0.9912286,"domain_scores_codex":[0.996429,0.0002259338,0.000372901,0.0004329557,0.001684956,0.0008543105],"domain_scores_gemma":[0.9743701,0.000857477,0.0007265364,0.000764461,0.02216651,0.001115045],"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":[0.00002251753,0.000005202402,0.0008241698,0.0002610305,0.00002017173,0.000007333135,0.00001859058,0.0001161355,0.000009048134,0.0004285158,0.9966234,0.001663958],"study_design_scores_gemma":[0.000119198,0.00000988415,0.01848017,0.0008134851,0.00006286354,0.00002713507,0.0004060614,0.0004091685,0.00017764,0.0006524905,0.978771,0.00007094863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000468763,0.00005627946,0.00002642577,0.0001183358,0.00003006633,0.00001223329,0.9986317,0.00005441076,0.001023654],"genre_scores_gemma":[0.0009739308,0.0003735783,0.0004082262,0.0001608126,0.00002110394,0.0001162876,0.9927456,0.0001289696,0.005071519],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09504946,"threshold_uncertainty_score":0.3488098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721126529989866,"score_gpt":0.2324516250034938,"score_spread":0.2152403597035952,"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."}}