{"id":"W2932509621","doi":"10.3968/10933","title":"Strategies of Civil Aviation Pilots Cultivation in the Perspective of Applied Talent Training Concept","year":2019,"lang":"en","type":"article","venue":"Canadian social science","topic":"Advanced Technologies in Various Fields","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Civil aviation; Aviation engineering; Aviation; Training (meteorology); Perspective (graphical); Aeronautics; Flight training; Engineering; Aircraft maintenance; Computer science; Flight simulator; Simulation; Artificial intelligence; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003689442,0.0000579976,0.0001009131,0.0001687662,0.0001155353,0.00003789433,0.001137637,0.00005672367,0.000005701273],"category_scores_gemma":[0.00008144719,0.00005003955,0.00001844936,0.001319875,0.000532382,0.0004230463,0.00005783343,0.0001242574,0.000001118966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000362383,"about_ca_system_score_gemma":0.0007632844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412287,"about_ca_topic_score_gemma":0.009302293,"domain_scores_codex":[0.9991007,0.00001637188,0.0001385559,0.0002176243,0.000293891,0.0002328156],"domain_scores_gemma":[0.9994533,0.00005663802,0.0001218057,0.0002143334,0.000125724,0.00002818638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[4.903087e-7,0.000004419891,0.0003171655,0.000001848201,7.892385e-7,3.212184e-7,0.0337107,0.000076877,0.001899886,0.9605525,0.00001031533,0.003424725],"study_design_scores_gemma":[0.0005917852,0.0002254429,0.05814046,0.00003719452,0.000004064868,0.000002060792,0.5396789,0.003118768,0.009731311,0.387647,0.0004610516,0.0003619519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2547063,0.00003660699,0.07635566,0.002272393,0.0004029594,0.0008834336,0.00001171861,0.0000796056,0.6652513],"genre_scores_gemma":[0.9987248,9.386047e-7,0.001161045,0.00008768623,0.0000105904,0.00000766325,4.237264e-7,0.000001732466,0.000005130923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7440185,"threshold_uncertainty_score":0.5190898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734391874606328,"score_gpt":0.2657846317583437,"score_spread":0.2484407130122804,"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."}}