{"id":"W6920271262","doi":"10.6068/dp14ba81900974","title":"Trend 1997 - 2006. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Table: Itinerant movements, by type of power plant, airports with NAV CANADA flight service stations | Variable: Dawson Creek, British Columbia, Piston engines | Units: #, 1997-2006. 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; Aviation; Service (business); Summary statistics; Statistical analysis; Official statistics; 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":[0.001782313,0.002458517,0.002685419,0.008444437,0.003166075,0.004722986,0.004639011,0.001464629,0.08450262],"category_scores_gemma":[0.01518109,0.001760827,0.002051731,0.04142912,0.0006252969,0.002734076,0.002230463,0.003052263,0.0567737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04612672,"about_ca_system_score_gemma":0.1203071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943672,"about_ca_topic_score_gemma":0.9918032,"domain_scores_codex":[0.9961726,0.0002320703,0.0004063075,0.0004967859,0.001702272,0.0009899752],"domain_scores_gemma":[0.9732434,0.0009449388,0.0008147338,0.0008007758,0.02291904,0.001277145],"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":[0.00002114036,0.000005772975,0.001009336,0.000230974,0.0000186406,0.000006775591,0.00002170792,0.0001271847,0.000008496218,0.0003823866,0.9967017,0.001465972],"study_design_scores_gemma":[0.0001291597,0.00001198736,0.02189413,0.0008661317,0.00006436814,0.00002846049,0.0005509715,0.0005230044,0.0001738905,0.0006238885,0.9750514,0.00008262858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004919634,0.00004227442,0.0000246918,0.00009571356,0.00002709157,0.00001138896,0.9988056,0.00005453641,0.0008894075],"genre_scores_gemma":[0.0009052576,0.0002907193,0.0003497906,0.0001231514,0.00001614768,0.0001021936,0.9941967,0.0001200875,0.003895998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08450262,"threshold_uncertainty_score":0.3346743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108310188607873,"score_gpt":0.2074329108436,"score_spread":0.1963498089575213,"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."}}