{"id":"W4285304050","doi":"10.54941/ahfe1002694","title":"Army Crew Training: Coaching with Intelligent Tutoring System (ITS)","year":2022,"lang":"en","type":"article","venue":"AHFE international","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crew; Trainer; Task (project management); Coaching; Computer science; Training (meteorology); Aeronautics; Simulation; Engineering; Artificial intelligence; Systems engineering","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":[0.0003364233,0.0003474742,0.0002884221,0.000230512,0.0001815545,0.0004903591,0.0007254622,0.0004792337,0.008335037],"category_scores_gemma":[0.001140143,0.0001256635,0.0001944555,0.0001882264,0.000136923,0.0004220663,0.000433042,0.0004314733,0.002143985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002651325,"about_ca_system_score_gemma":0.0005641782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928257,"about_ca_topic_score_gemma":0.001387846,"domain_scores_codex":[0.9997608,0.00004046361,0.00001901421,0.00008262027,0.00006122527,0.00003582851],"domain_scores_gemma":[0.9996595,0.0001014492,0.0000281847,0.00005026444,0.00009649903,0.00006397295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009123333,0.001268255,0.009262168,0.0005503937,0.00007729349,0.0004879251,0.001112072,0.05285962,0.1069357,0.002866153,0.02049002,0.8031782],"study_design_scores_gemma":[0.0003805291,0.001746663,0.01467104,0.0001032842,0.0001738121,0.000886617,0.0002473225,0.741906,0.1399509,0.002037969,0.09780523,0.00009067864],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2304222,0.0002579226,0.6236826,0.000498695,0.0001705794,0.001006356,0.0007493042,0.110592,0.03262044],"genre_scores_gemma":[0.7654238,0.0001651246,0.2112195,0.0002363869,0.00005848459,0.0005000914,0.0007745603,0.0004500751,0.0211721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008335037,"threshold_uncertainty_score":0.02788341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0396706110757296,"score_gpt":0.249151755844348,"score_spread":0.2094811447686184,"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."}}