{"id":"W6939043175","doi":"10.6068/dp14baa3d6a119","title":"Trend 2005 - 2007. Statistics Canada. CANSIM: Energy - Energy Consumption and Disposition | Country: Canada | Province: Newfoundland and Labrador | Table: Fuel consumed for electric power generation, by electric utility thermal plants | Variable: Canadian heavy fuel oil | Units: (kilolitres), 2005-2007. 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; Economic statistics; Consumption (sociology); Official statistics; Electric utility; Summary statistics; Electric power; Census","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":[0.001889112,0.002453767,0.002789591,0.008504424,0.003367747,0.004843067,0.004821478,0.0014991,0.09282409],"category_scores_gemma":[0.01586636,0.001783335,0.002266168,0.04421319,0.0006695527,0.002654786,0.002194817,0.003041425,0.05489623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05310472,"about_ca_system_score_gemma":0.1332455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945179,"about_ca_topic_score_gemma":0.992519,"domain_scores_codex":[0.9961379,0.0002483281,0.0004168309,0.0004717645,0.001783948,0.0009411722],"domain_scores_gemma":[0.9709885,0.00100821,0.0008206559,0.0008824755,0.02505598,0.001244209],"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":[0.00002172976,0.000005240874,0.0008220325,0.0002458558,0.00002060932,0.000007154509,0.00001892325,0.0001120811,0.000008753156,0.0004050425,0.9967943,0.001538252],"study_design_scores_gemma":[0.0001191885,0.00001002369,0.01791048,0.0008502353,0.00006796386,0.00002669956,0.0004386696,0.0003996327,0.0001777032,0.0006458221,0.9792746,0.00007904265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004572123,0.00005502079,0.00002539918,0.0001163086,0.00003116009,0.00001232076,0.9986895,0.00005435882,0.0009703558],"genre_scores_gemma":[0.0009194489,0.0003686198,0.0004376027,0.0001605677,0.00002021007,0.000120336,0.993148,0.000135915,0.004689287],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09282409,"threshold_uncertainty_score":0.3853035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626727426000852,"score_gpt":0.2272576116480082,"score_spread":0.2109903373879997,"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."}}