{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001928676,0.0004603204,0.0002014595,0.0005879385,0.001906841,0.001765153,0.001226594,0.0009359154,0.001918417],"category_scores_gemma":[0.006667159,0.0003409617,0.0001464328,0.000311401,0.0005329829,0.001396943,0.001289809,0.0007067752,0.0009554256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508604,"about_ca_system_score_gemma":0.005554938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008928887,"about_ca_topic_score_gemma":0.02690805,"domain_scores_codex":[0.9981368,0.0007498646,0.00008959995,0.0001309413,0.0004765441,0.0004162271],"domain_scores_gemma":[0.998539,0.0002958584,0.0002402723,0.0001175288,0.0003977001,0.0004097618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005327996,0.002642714,0.03654857,0.001034245,0.00006203888,0.002126785,0.01421989,0.08849533,0.08804777,0.02001227,0.01517257,0.7311049],"study_design_scores_gemma":[0.0004044069,0.006267226,0.1560505,0.001194584,0.0002086434,0.002407476,0.1106266,0.3334356,0.1266854,0.02247532,0.2399317,0.0003126113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4771952,0.0006254966,0.4660947,0.001779098,0.0001769428,0.004250045,0.0001375416,0.001189636,0.04855141],"genre_scores_gemma":[0.7736847,0.0004333626,0.2195241,0.000129468,0.00002088053,0.0005928109,0.0001196036,0.00005765469,0.005437511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008928887,"threshold_uncertainty_score":0.01775384,"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."}}