{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0009681277,0.001383495,0.001839336,0.0002812441,0.0002904031,0.0003508294,0.002340868,0.0009721583,0.001059982],"category_scores_gemma":[0.0001268699,0.001333899,3.526347e-7,0.0006057158,0.0005080916,0.0005827586,0.001598625,0.001947001,0.00001788697],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027024,"about_ca_system_score_gemma":0.008746691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995968,"about_ca_topic_score_gemma":0.9993305,"domain_scores_codex":[0.9918171,0.0009827818,0.001408663,0.002177187,0.002481515,0.001132772],"domain_scores_gemma":[0.9932018,0.0004149793,0.001954098,0.003537532,0.0001529793,0.0007386401],"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":[0.0002958676,0.0001576317,0.00007281247,0.000922972,0.0008301755,0.0000814132,0.000009338844,0.000172974,0.00002639591,0.00003581684,0.9970785,0.0003160583],"study_design_scores_gemma":[0.001047463,0.0001121149,0.00001283714,0.0001771536,0.001080028,0.0002536485,0.00030826,0.002010864,7.270599e-7,2.087501e-7,0.9936231,0.001373546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000103479,0.0217551,0.000001786123,0.000003664947,0.00139157,0.0008006806,0.975212,0.0001214849,0.0007033478],"genre_scores_gemma":[0.000258365,0.002861497,0.0001112264,0.000113423,0.0004714387,0.00003399835,0.9944888,0.0005401884,0.001121078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01927676,"threshold_uncertainty_score":0.9998916,"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."}}