{"id":"W2364873291","doi":"","title":"DEVELOPMENT OF GENERIC AIRCREW MEASURES OF PERFORMANCE FOR DISTRIBUTED MISSION TRAINING","year":2003,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aircrew; Training (meteorology); Debriefing; Pathfinder; Plan (archaeology); Computer science; Cockpit; Situation awareness; Aviation; Operations research; Process management; Systems engineering; Engineering management; Aeronautics; Simulation; Engineering; Medical education","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":[0.01076221,0.0008478792,0.0005233894,0.002754938,0.0005119623,0.001397842,0.0009620896,0.000823332,0.003940833],"category_scores_gemma":[0.03170603,0.0002434062,0.001169272,0.002306495,0.0004880846,0.001657769,0.001930342,0.000939737,0.00101942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439253,"about_ca_system_score_gemma":0.001189436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002094233,"about_ca_topic_score_gemma":0.002165978,"domain_scores_codex":[0.9929131,0.003261197,0.0009360957,0.0004599509,0.00220346,0.0002261663],"domain_scores_gemma":[0.9748052,0.01105813,0.004023085,0.002002605,0.007471524,0.0006394674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001527082,0.002821181,0.3980829,0.001652283,0.0006824872,0.00009033161,0.002647877,0.02449792,0.007163183,0.007794404,0.01034438,0.542696],"study_design_scores_gemma":[0.0002282022,0.006174723,0.8984367,0.0006160855,0.0002420683,0.000203569,0.002151296,0.05863114,0.01212409,0.005259018,0.01580649,0.0001266458],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7651119,0.0006274227,0.1816982,0.000401882,0.0001894452,0.006343483,0.006046112,0.001186859,0.03839473],"genre_scores_gemma":[0.9028186,0.000164199,0.08714745,0.00007374748,0.00002345424,0.004041523,0.003076153,0.0000786595,0.002576165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01076221,"threshold_uncertainty_score":0.05691671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1673068499656436,"score_gpt":0.3726727399649051,"score_spread":0.2053658899992614,"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."}}