{"id":"W6920306242","doi":"10.6068/dp14ba858c53a89","title":"Trend 1997 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Table: Itinerant movements, by type of power plant, airports with NAV CANADA towers | Variable: MontrTal/Pierre Elliott Trudeau International, Quebec, Jet engines | Units: #, 1997-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-195.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Summary statistics; Statistical analysis; Official statistics; Descriptive statistics; Aviation; Air travel","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":[0.0005417467,0.001630978,0.001782572,0.0002325451,0.0001619367,0.0001656929,0.002651584,0.000616385,0.006745714],"category_scores_gemma":[0.00006539944,0.001572284,6.378172e-7,0.0008078261,0.0002731523,0.000952983,0.0000666714,0.001033698,0.00001593994],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139824,"about_ca_system_score_gemma":0.03927846,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999947,"about_ca_topic_score_gemma":0.9999983,"domain_scores_codex":[0.9907824,0.0002845869,0.002116101,0.001890986,0.003618008,0.001307937],"domain_scores_gemma":[0.993088,0.0005497792,0.002280079,0.002676019,0.0003984954,0.001007591],"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":[0.0007539563,0.0002132999,0.0000755532,0.0005637429,0.001610684,0.0011745,0.00001162048,0.0004776643,0.00002157562,0.0002599147,0.994777,0.00006049468],"study_design_scores_gemma":[0.002080323,0.000140211,0.00001734815,0.0001617946,0.0008925917,0.00005101542,0.0003747951,0.001348527,3.668966e-7,8.693358e-8,0.9931999,0.001733068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003751667,0.005912223,0.00002636163,0.000008414813,0.001794838,0.001164312,0.9900656,0.0001323178,0.0008922021],"genre_scores_gemma":[0.00008770944,0.001298185,0.0001292409,0.0003564611,0.0001511433,0.00004537438,0.9874742,0.0007626459,0.009695033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03813863,"threshold_uncertainty_score":0.9996437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221568564021148,"score_gpt":0.2220575294176003,"score_spread":0.2098418437773888,"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."}}