{"id":"W6976429244","doi":"10.6068/dp14ba84000ea31","title":"Trend 1997 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Table: Itinerant movements, by type of operation, airports with NAV CANADA towers | Variable: Whitehorse International, Yukon, Government civil 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":"Politics and Society in Latin America","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Government (linguistics); Summary statistics; Statistical analysis; Business statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001729339,0.00257145,0.002711232,0.008509489,0.003259091,0.005188238,0.004863455,0.001545391,0.0844067],"category_scores_gemma":[0.01628724,0.001749515,0.002067551,0.04227766,0.000650739,0.002989592,0.002323,0.003172956,0.06025773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04539435,"about_ca_system_score_gemma":0.1174332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941591,"about_ca_topic_score_gemma":0.9919817,"domain_scores_codex":[0.9962655,0.0002318477,0.0003847683,0.0005098215,0.001637983,0.0009700507],"domain_scores_gemma":[0.9724616,0.0009878437,0.0008137258,0.0008550221,0.02354884,0.001333065],"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":[0.00002043698,0.000005718253,0.0009684476,0.0002140792,0.00001806526,0.000006789403,0.00002119568,0.0001217352,0.000008510297,0.0003628052,0.996891,0.001361342],"study_design_scores_gemma":[0.0001405323,0.00001143609,0.0203899,0.0008841087,0.0000657703,0.00002778573,0.0006010924,0.000554485,0.000179622,0.0006747196,0.9763815,0.00008904036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004875294,0.00004156331,0.00002430566,0.0001018294,0.00002652632,0.00001150943,0.9988795,0.00005786525,0.0008082027],"genre_scores_gemma":[0.0008021632,0.0002539041,0.0003196709,0.0001181413,0.00001639685,0.00009859866,0.9949632,0.0001172591,0.003310653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0844067,"threshold_uncertainty_score":0.3293606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439068759596332,"score_gpt":0.2473816738381287,"score_spread":0.2329909862421654,"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."}}