{"id":"W210051476","doi":"","title":"Designing Efficient and Effective, Operationally Relevant, High Altitude Training Profiles","year":2001,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Aerospace and Aviation Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Altitude (triangle); Altitude training; Effects of high altitude on humans; Process (computing); Aeronautics; Low altitude; Computer science; Medicine; Geography; Engineering; Meteorology; Physical therapy; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002067884,0.0001731415,0.0001860201,0.0001750307,0.000124579,0.00008645999,0.000111146,0.000168532,0.00004683628],"category_scores_gemma":[0.0001197864,0.0001646016,0.00004065283,0.000218506,0.00006840876,0.000458226,0.00005423229,0.0002528695,0.000128368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008221358,"about_ca_system_score_gemma":0.00001315883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002687728,"about_ca_topic_score_gemma":0.000003924118,"domain_scores_codex":[0.9989998,0.00002054693,0.0003908418,0.0001257604,0.0001868239,0.0002761828],"domain_scores_gemma":[0.9995365,0.00008664417,0.00006168821,0.0001638107,0.00007471238,0.00007667891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004198716,0.0006234418,0.02625817,0.001006815,0.0005621174,0.0001001237,0.01025262,0.309256,0.1158767,0.2193356,0.02467111,0.2916375],"study_design_scores_gemma":[0.01663526,0.001431648,0.2180422,0.001381418,0.0002826948,0.002063282,0.00338086,0.4876758,0.07894572,0.004471479,0.1806614,0.005028268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6068486,0.00007393985,0.3853629,0.0005529472,0.0002044204,0.0008035834,0.0000278239,0.00173445,0.004391338],"genre_scores_gemma":[0.9885703,0.00008437903,0.0107611,0.0003135069,0.00003344899,0.0001121407,0.00009167232,0.00001689844,0.00001657515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3817217,"threshold_uncertainty_score":0.6712259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009581673361762974,"score_gpt":0.2136293319243139,"score_spread":0.2040476585625509,"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."}}