{"id":"W6939104537","doi":"10.6068/dp14ba8c7f9fc0","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: Kenora, Ontario, Transborder movements, Air carrier movements, level I-III including foreign air carriers | 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); Aviation; Statistical analysis; Summary statistics; Air transport; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001826152,0.002517399,0.002625445,0.008104399,0.003116684,0.004551747,0.004747646,0.001439571,0.0842223],"category_scores_gemma":[0.01670656,0.001660449,0.002040509,0.03912624,0.0005965693,0.002636938,0.002206459,0.003007787,0.05218695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04205035,"about_ca_system_score_gemma":0.1088411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939203,"about_ca_topic_score_gemma":0.9918327,"domain_scores_codex":[0.9963357,0.0002390351,0.00039412,0.0005200288,0.001612893,0.0008982037],"domain_scores_gemma":[0.9737781,0.00101258,0.0008416679,0.0008221719,0.02227744,0.001268095],"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":[0.00002081728,0.000005873502,0.001069339,0.0002200015,0.00001960194,0.000006825758,0.0000219341,0.0001277826,0.000008168529,0.0003553556,0.9966808,0.001463453],"study_design_scores_gemma":[0.0001590403,0.00001342364,0.02428359,0.0008995074,0.00007286114,0.0000300837,0.0005784371,0.0006128488,0.0001720041,0.0007027137,0.9723862,0.0000893566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005498099,0.0000419679,0.00002629392,0.00009908534,0.00002541979,0.00001179172,0.9989451,0.00005436636,0.0007409958],"genre_scores_gemma":[0.0008118827,0.0002425686,0.0003230516,0.0001154128,0.00001634593,0.0001023459,0.9950612,0.000105073,0.003222173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0842223,"threshold_uncertainty_score":0.3050981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413129884104437,"score_gpt":0.2478769665715944,"score_spread":0.22374566773055,"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."}}