{"id":"W6976564297","doi":"10.6068/dp14ba7edc5ce30","title":"Trend 1990 - 2008. Statistics Canada. CANSIM: Environment - Natural Resources | Country: Canada | Table: Energy use, by sector | Variable: Air transportation | Units: Terajoules, 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":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Census; Natural resource; Summary statistics; Statistical analysis; 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":[0.002005412,0.002233949,0.002488483,0.008784364,0.003076899,0.004683556,0.004698816,0.001420713,0.092285],"category_scores_gemma":[0.01662859,0.00181249,0.002043993,0.04307692,0.000658144,0.002704044,0.002268839,0.003296468,0.05497748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05462101,"about_ca_system_score_gemma":0.1552524,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943739,"about_ca_topic_score_gemma":0.9920224,"domain_scores_codex":[0.9957806,0.0002614775,0.000450299,0.0005160823,0.002041837,0.0009496834],"domain_scores_gemma":[0.9668252,0.001098912,0.0009013799,0.0009051564,0.02885507,0.001414243],"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":[0.00001840991,0.000005189764,0.0008311914,0.0002377287,0.00001909665,0.000005958515,0.0000194113,0.00009449407,0.000007873577,0.000375777,0.9969073,0.00147762],"study_design_scores_gemma":[0.0001229395,0.00001049158,0.0208387,0.000789892,0.00006638844,0.00002546967,0.0004266869,0.0003922531,0.0001455079,0.000681071,0.9764271,0.00007345812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000491147,0.00005714208,0.00002529168,0.0001428625,0.00003377684,0.0000151511,0.9985013,0.00006026164,0.001115139],"genre_scores_gemma":[0.000966726,0.0003611318,0.0004541925,0.0001897542,0.00002129586,0.000144998,0.9926062,0.000138778,0.005117027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.092285,"threshold_uncertainty_score":0.396305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031039172209078,"score_gpt":0.2266034016987066,"score_spread":0.2062930099766158,"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."}}