{"id":"W6920163046","doi":"10.6068/dp14ba8188e0463","title":"Trend 1990 - 2008. Statistics Canada. CANSIM: Economic Accounts - Environmental and Resource Accounts | Country: Canada | Table: Direct plus indirect energy intensity, by industry | Variable: Air transportation, Index, 1990=100 | Units: , 1990-2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-058.","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; Official statistics; National accounts; Census; Summary statistics; Resource (disambiguation); Natural resource; Statistical analysis; Economic data","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001954384,0.002242959,0.002433607,0.009919526,0.002986838,0.00517663,0.004517491,0.001377117,0.1068859],"category_scores_gemma":[0.01637043,0.001681296,0.001895392,0.04590698,0.0006180068,0.002891467,0.002151878,0.003071209,0.06928435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05416626,"about_ca_system_score_gemma":0.1393172,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932902,"about_ca_topic_score_gemma":0.9900945,"domain_scores_codex":[0.9958946,0.0002355885,0.0004022054,0.0004761679,0.002047921,0.0009435608],"domain_scores_gemma":[0.9687902,0.0009783668,0.0008432327,0.0008705035,0.02730512,0.001212679],"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":[0.00001310609,0.000003774901,0.0005697476,0.0001863628,0.00001330252,0.000005365921,0.00001654503,0.00008409498,0.000007069675,0.0004322451,0.9973071,0.001361279],"study_design_scores_gemma":[0.00007096838,0.000006390084,0.01338,0.0005163052,0.00003895565,0.00001931155,0.0003228698,0.0003332707,0.0001142453,0.0005298185,0.9846119,0.00005590728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004239338,0.0000519272,0.00002415198,0.000123186,0.0000302858,0.00001400357,0.9983301,0.00006906246,0.001315013],"genre_scores_gemma":[0.0008138901,0.0003459023,0.0004118203,0.0001470669,0.00002002142,0.0001296279,0.9920158,0.0001470944,0.005968729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8931141,"threshold_uncertainty_score":0.3930055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545103739642673,"score_gpt":0.215150658305484,"score_spread":0.1996996209090573,"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."}}