{"id":"W6901591392","doi":"10.6068/dp14ba83ffbcb30","title":"Trend 2010 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Table: Itinerant movements, by type of operation, airports with NAV CANADA towers | Variable: Fredericton International, New Brunswick, Private movements | Units: #, 2010-2012. 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; Aviation","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":[0.001909489,0.002646331,0.002848501,0.009221404,0.003239721,0.005284576,0.00509235,0.001566467,0.08257002],"category_scores_gemma":[0.01740847,0.001875935,0.002294537,0.04565788,0.0006546021,0.003087689,0.002385421,0.003232182,0.05508014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05156445,"about_ca_system_score_gemma":0.1319154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946846,"about_ca_topic_score_gemma":0.9923884,"domain_scores_codex":[0.9958937,0.0002441213,0.0004434421,0.0005189652,0.001839204,0.001060554],"domain_scores_gemma":[0.9708098,0.0010067,0.0009097891,0.0008478643,0.02501104,0.001414892],"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":[0.00002167873,0.000005800354,0.001016187,0.0002438655,0.00001967023,0.000006967936,0.00002121428,0.0001244159,0.000008760062,0.0003929094,0.9966524,0.001486091],"study_design_scores_gemma":[0.0001435339,0.00001243476,0.02301937,0.00101921,0.00007746169,0.00003061824,0.0005935884,0.0005774644,0.0001903076,0.0006795349,0.9735621,0.00009439919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005227406,0.00005048243,0.00002728647,0.0001190312,0.00003196172,0.00001303011,0.9987282,0.00006185296,0.0009158199],"genre_scores_gemma":[0.0009386869,0.0003285819,0.000393046,0.0001435019,0.00002007413,0.000116487,0.9939111,0.0001338945,0.004014592],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08257002,"threshold_uncertainty_score":0.374128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726431458192882,"score_gpt":0.2325402864772614,"score_spread":0.2152759718953326,"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."}}