{"id":"W6901566089","doi":"10.6068/dp14baa2e086495","title":"Trend 2002 - 2009. Statistics Canada. CANSIM: Environment - Natural Resources | Country: Canada | Province: Nova Scotia | Table: Supply and demand of primary and secondary energy in natural units | Variable: Aviation gasoline, secondary energy, Availability | Units: Megalitres, 2002-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-086.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Natural resource; Census; Official statistics; Summary statistics; Descriptive statistics; Nova scotia; Natural (archaeology)","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":[0.001787957,0.00234052,0.00248504,0.007750717,0.003098744,0.00522401,0.004389626,0.001380804,0.1011232],"category_scores_gemma":[0.01498489,0.001884401,0.002007921,0.03732989,0.0006336041,0.00252617,0.002230202,0.002852979,0.06013234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05766102,"about_ca_system_score_gemma":0.1470971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9956928,"about_ca_topic_score_gemma":0.9938558,"domain_scores_codex":[0.99606,0.0002361662,0.0004416161,0.0005060242,0.001815971,0.0009401836],"domain_scores_gemma":[0.9692178,0.0009878003,0.0008798612,0.0009056123,0.02649454,0.001514461],"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":[0.00002440414,0.000006206788,0.001168275,0.0002397769,0.00002181687,0.000008669169,0.000022277,0.0001421692,0.00001231568,0.0004581831,0.9961881,0.001707687],"study_design_scores_gemma":[0.0001292702,0.00001036234,0.02215417,0.0007643093,0.00005593228,0.00002689845,0.0004468514,0.0005317645,0.0001960518,0.0006305137,0.9749696,0.00008430369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006108293,0.00005508052,0.00002764371,0.0001336327,0.0000384396,0.00001508626,0.9982378,0.00006556205,0.001365557],"genre_scores_gemma":[0.001315576,0.000374688,0.0005401919,0.0001966698,0.00002150621,0.0001375172,0.9896861,0.0001768448,0.007550892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1011232,"threshold_uncertainty_score":0.418362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111324453375718,"score_gpt":0.2040590283276109,"score_spread":0.1929265829900391,"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."}}