{"id":"W6976746475","doi":"10.6068/dp14ba86be79777","title":"Trend 1997 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Table: Domestic and international itinerant movements, by type of operation, airports with NAV CANADA flight service stations | Variable: Mont-Joli, Quebec, Transborder movements, Government military movements | 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; Official statistics; Economic statistics; Service (business); Government (linguistics); Aviation; Summary statistics; Statistical analysis; 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":[0.0004971785,0.001353979,0.00129962,0.0001231853,0.0002538738,0.0001296031,0.001719609,0.0003833837,0.004529858],"category_scores_gemma":[0.00003546678,0.001367075,5.352787e-7,0.0006666303,0.0001942815,0.001173183,0.00007396855,0.0006873886,0.000008091522],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616831,"about_ca_system_score_gemma":0.02651824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999838,"about_ca_topic_score_gemma":0.9999973,"domain_scores_codex":[0.9906816,0.0003185326,0.002176775,0.001791738,0.00400056,0.001030779],"domain_scores_gemma":[0.9949788,0.0003545529,0.001398797,0.001988736,0.0004826706,0.0007964763],"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":[0.0005307418,0.000375782,0.0001129737,0.0009314121,0.001710891,0.000277924,0.00003005418,0.001717702,0.00004936169,0.0001677457,0.9940219,0.00007350853],"study_design_scores_gemma":[0.003254293,0.0001395901,0.00009045712,0.0001465776,0.0009343971,0.00001516785,0.0007231402,0.005022235,4.263831e-7,2.845775e-7,0.9882854,0.00138809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001709159,0.003801013,0.0001141301,0.00002410724,0.0008140208,0.001738676,0.9931368,0.00007049993,0.0002836892],"genre_scores_gemma":[0.0001446844,0.0009758793,0.0002968276,0.001269256,0.00009228005,0.0001079782,0.9882439,0.0005049682,0.008364196],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02490141,"threshold_uncertainty_score":0.9999211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160647677806021,"score_gpt":0.2283110800155213,"score_spread":0.2167046032374611,"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."}}