{"id":"W6958150403","doi":"10.6068/dp14ba7b71b9786","title":"Trend 1990 - 2008. Statistics Canada. CANSIM: Environment - Natural Resources | Country: Canada | Table: Direct plus indirect energy intensity, by industry | Variable: Accommodation and food services, Gigajoules per thousand current dollars of production | Units: , 1990-2008. 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; Census; Official statistics; Natural resource; Summary statistics; Accommodation; National accounts; International comparisons","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":[0.002025565,0.002310266,0.002495217,0.008348705,0.003019142,0.004753528,0.00489308,0.001410442,0.1029347],"category_scores_gemma":[0.01575432,0.001843862,0.002033301,0.04212787,0.0006545827,0.002857538,0.002342586,0.00320478,0.0638728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05787274,"about_ca_system_score_gemma":0.157026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948255,"about_ca_topic_score_gemma":0.99237,"domain_scores_codex":[0.9957728,0.000249616,0.0004379244,0.0004911736,0.002044086,0.001004362],"domain_scores_gemma":[0.9662648,0.001001263,0.0008986419,0.0008688971,0.02949401,0.001472253],"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":[0.00001692031,0.000005234759,0.0008082181,0.0002184608,0.0000161785,0.000005662434,0.00001791858,0.00009002327,0.000008156993,0.0003950024,0.9968529,0.001565368],"study_design_scores_gemma":[0.0001080992,0.000009517717,0.01880718,0.000695934,0.00005302327,0.00002301648,0.0003968392,0.0003761118,0.0001487065,0.000602937,0.9787078,0.00007079657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005009562,0.00005752339,0.00002810863,0.0001493957,0.00003484195,0.00001658482,0.9982051,0.000071531,0.001386868],"genre_scores_gemma":[0.001013479,0.0004005279,0.0005211551,0.0002092238,0.00002125368,0.0001567941,0.9910029,0.0001657179,0.006508955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1029347,"threshold_uncertainty_score":0.4198981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188920653221519,"score_gpt":0.225505984270526,"score_spread":0.2066139189483741,"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."}}