{"id":"W6976563263","doi":"10.6068/dp14ba84a96cf26","title":"Trend 1997 - 2012. Statistics Canada. CANSIM: Transportation - Transportation by Air | Country: Canada | Table: Itinerant movements, by type of operation, airports with NAV CANADA flight service stations | Variable: Williams Lake, British Columbia, Government military 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":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Economic statistics; Service (business); Government (linguistics); Aviation; Summary statistics; Statistical analysis; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002411185,0.000663746,0.0009328843,0.00003481317,0.0001719578,0.0001426555,0.0009483136,0.0003139619,0.00336778],"category_scores_gemma":[0.000008600724,0.0008161721,3.666692e-7,0.0003233117,0.00006490956,0.0004983179,0.00002454276,0.0004720493,0.000003543107],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000580181,"about_ca_system_score_gemma":0.008895325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999893,"about_ca_topic_score_gemma":0.9999992,"domain_scores_codex":[0.9950712,0.0001201253,0.001356962,0.0009051521,0.001841388,0.0007052022],"domain_scores_gemma":[0.9973851,0.0001554119,0.0005251712,0.001341365,0.0001594727,0.0004334755],"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":[0.00003903749,0.00007595246,0.00004377854,0.00189298,0.0007187796,0.0002112608,0.000006706246,0.00606705,0.000009073075,0.00000833534,0.9908402,0.00008682092],"study_design_scores_gemma":[0.0009996642,0.00007388533,0.00003101326,0.0002001161,0.0003507349,0.00001654977,0.0002611204,0.003362482,5.384171e-7,5.622541e-8,0.99378,0.0009238265],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001600624,0.00349715,0.00005116953,0.000003244244,0.001107906,0.0009817675,0.9935827,0.00008274685,0.0006772591],"genre_scores_gemma":[0.0001150947,0.000915475,0.00008112059,0.0003756235,0.00008859693,0.00005394802,0.9837611,0.0002795176,0.01432948],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01365222,"threshold_uncertainty_score":0.9994289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008687241849488972,"score_gpt":0.1861074060058078,"score_spread":0.1774201641563188,"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."}}