{"id":"W7132685937","doi":"","title":"A multi-role reconfigurable trainer for naval combat information operators","year":2018,"lang":"en","type":"article","venue":"NPARC","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trainer; Key (lock); Navy; Set (abstract data type); Domain (mathematical analysis); Training (meteorology); Subject-matter expert","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.000333827,0.00008815192,0.0001032313,0.00006351367,0.0002092973,0.0002010417,0.0003212721,0.0000461852,0.0000561498],"category_scores_gemma":[0.00006731413,0.00007573842,0.00004808354,0.0001095691,0.00002295196,0.000799766,0.0000288815,0.00007307903,0.0002760919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003268985,"about_ca_system_score_gemma":0.00004268996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002342666,"about_ca_topic_score_gemma":0.000003596127,"domain_scores_codex":[0.9992837,0.00002815779,0.0001953475,0.0001443571,0.0001221018,0.0002263087],"domain_scores_gemma":[0.9994255,0.00003595341,0.00006837784,0.0001969633,0.0002197861,0.00005336021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002836482,0.00007135198,0.0003545583,0.00006022965,0.00004980114,0.000001572186,0.01612351,0.000219531,0.1069323,0.6883206,0.01063231,0.1772059],"study_design_scores_gemma":[0.0004566012,0.0002274407,0.0003220095,0.00004408808,0.000002494073,0.000007403526,0.0002929033,0.1656599,0.03088505,0.0007341258,0.8011809,0.0001870368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01741886,0.00001115557,0.9540697,0.0003239088,0.0009984984,0.0003138876,0.000003947434,0.0001582056,0.02670182],"genre_scores_gemma":[0.9020531,0.000001034411,0.08960005,0.0003693328,0.0002848952,0.00004625147,0.000004137512,0.000007834867,0.007633416],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8846342,"threshold_uncertainty_score":0.3548695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362627776153841,"score_gpt":0.2551847168175007,"score_spread":0.2315584390559623,"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."}}