{"id":"W6901556183","doi":"10.6068/dp14baa39fa8b68","title":"Trend 1997 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Province: Newfoundland and Labrador | Table: Aircraft movements, by class of operation, airports with NAV CANADA towers | Variable: Number of movements, Itinerant 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; Economic statistics; Summary statistics; Statistical analysis; Official statistics; Descriptive statistics; Air travel; Air transport","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":[0.001849385,0.002601986,0.002717561,0.008313639,0.003130188,0.004701517,0.005092181,0.001542222,0.08564376],"category_scores_gemma":[0.01718326,0.001673097,0.002129781,0.04194054,0.0006385125,0.002873833,0.002220106,0.002990982,0.05893411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0403046,"about_ca_system_score_gemma":0.1034327,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992988,"about_ca_topic_score_gemma":0.9908048,"domain_scores_codex":[0.9963516,0.0002396187,0.0004031734,0.0005520861,0.001536243,0.0009173433],"domain_scores_gemma":[0.9719687,0.00107484,0.0009005667,0.0009641614,0.02385481,0.00123696],"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":[0.00002018174,0.000005350333,0.001002991,0.0002222722,0.0000194315,0.000006573333,0.00002037241,0.0001233368,0.000008633612,0.0003276072,0.9969242,0.001319063],"study_design_scores_gemma":[0.0001420969,0.00001172559,0.02172769,0.000864765,0.00006679955,0.00002699885,0.0005234634,0.0004913674,0.000161659,0.0006138755,0.9752845,0.00008514502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004396549,0.00003475944,0.00002247305,0.00008042414,0.00002354354,0.00001018787,0.9990839,0.00005095774,0.0006497637],"genre_scores_gemma":[0.0006680687,0.000189721,0.0002830137,0.00009670367,0.00001438766,0.00009249687,0.9959533,0.00009890454,0.002603306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08564376,"threshold_uncertainty_score":0.2924317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00982686731399807,"score_gpt":0.222592271252677,"score_spread":0.2127654039386789,"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."}}