{"id":"W6976737096","doi":"10.6068/dp14ba8aa3ab129","title":"Trend 1997 - 1999. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Table: Itinerant movements, by instrument flight rules, visual flight rules and runway 88, airports with NAV CANADA flight service stations | Variable: Baker Lake, Nunavut, Itinerant movements conducted in accordance to instrument flight rules | Units: #, 1997-1999. 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":"Economic statistics; Census; Aviation; Summary statistics; Runway; Official statistics; Statistical analysis; 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":[0.001875165,0.002487157,0.002519393,0.008072118,0.00311297,0.004504874,0.004803316,0.001366301,0.08855545],"category_scores_gemma":[0.01596807,0.001672511,0.001940137,0.03893878,0.0006082597,0.002525949,0.002166923,0.002956567,0.05672729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04345609,"about_ca_system_score_gemma":0.1060418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937598,"about_ca_topic_score_gemma":0.9913645,"domain_scores_codex":[0.9963623,0.0002334812,0.0003972024,0.0005220795,0.001586883,0.0008981946],"domain_scores_gemma":[0.9741932,0.001012545,0.0007872195,0.0008802263,0.02192359,0.001203194],"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":[0.00002233436,0.000005990028,0.001055391,0.0002109808,0.0000189492,0.000006769386,0.00002226245,0.0001317337,0.000009066478,0.0003604197,0.9965983,0.001557837],"study_design_scores_gemma":[0.0001515599,0.00001187193,0.02310998,0.000803744,0.00006511037,0.00002607513,0.0005515321,0.0005858827,0.0001730358,0.0006827169,0.9737559,0.0000826504],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004974491,0.00003357228,0.00002477436,0.00008092343,0.00002216443,0.00001151917,0.9989672,0.00005277069,0.0007574542],"genre_scores_gemma":[0.0007003617,0.0001921449,0.0003053912,0.00009711224,0.0000123798,0.00009832557,0.9955259,0.00009716773,0.002971218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08855545,"threshold_uncertainty_score":0.3152975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414627028650586,"score_gpt":0.224851301757866,"score_spread":0.2107050314713602,"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."}}