{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004509445,0.0005907455,0.000621349,0.00007665857,0.0004485793,0.0004701294,0.002162873,0.0004352284,0.005483966],"category_scores_gemma":[0.00005704718,0.0005627014,2.296826e-7,0.0003963725,0.0004346176,0.001182409,0.0001174247,0.0005415176,0.0000190802],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121205,"about_ca_system_score_gemma":0.01619468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999477,"about_ca_topic_score_gemma":0.9998967,"domain_scores_codex":[0.9947317,0.00048797,0.0007580926,0.001160627,0.001978386,0.0008832293],"domain_scores_gemma":[0.9966691,0.000505806,0.0006389483,0.001445113,0.00003403812,0.0007070477],"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":[0.0000370437,0.00004805216,0.00002741913,0.00006417819,0.00008941127,0.0002305895,0.0000165876,0.00002454242,0.000003245487,0.001174413,0.9981902,0.00009432255],"study_design_scores_gemma":[0.0003164626,0.00005554502,0.000009058173,0.00002152746,0.0001446747,0.00001157228,0.0004562468,0.0003737,5.84518e-8,4.310859e-7,0.9978866,0.0007241261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.373925e-7,0.001649761,0.000008873995,0.00001632064,0.0009987956,0.000345971,0.9938926,0.00007232213,0.003014485],"genre_scores_gemma":[0.00006810026,0.001133546,0.0001474202,0.0008212729,0.0004680926,0.00001282116,0.9784364,0.0001091441,0.01880323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01588256,"threshold_uncertainty_score":0.9996824,"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."}}