{"id":"W7010712169","doi":"","title":"IRET - Multimodal interactive simulator for public safety and defence training","year":2011,"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":"Training (meteorology); Action (physics); Simulation training; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003481224,0.0001146179,0.0001535465,0.00006694363,0.000195025,0.0001041451,0.0003257526,0.00004519507,0.00003296371],"category_scores_gemma":[0.0001787636,0.0001033184,0.00005190285,0.00008857574,0.00003446987,0.0005567113,0.0001206403,0.000127006,0.00001279316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003525411,"about_ca_system_score_gemma":0.00004168746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000186611,"about_ca_topic_score_gemma":0.000003041659,"domain_scores_codex":[0.999034,0.0000482765,0.0001861432,0.0003275954,0.0001169985,0.0002870267],"domain_scores_gemma":[0.9992959,0.0002133683,0.00009278021,0.0001944949,0.0001066935,0.00009673617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000499755,0.00003870115,0.001602362,0.00002376866,0.00004298814,0.000008317761,0.02837048,0.00006738344,0.003261219,0.8374928,0.00004141061,0.1290006],"study_design_scores_gemma":[0.001592384,0.0007736378,0.01214255,0.0002745463,0.00001855456,0.00006709481,0.003378851,0.7960804,0.008113473,0.02308141,0.1534553,0.001021773],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03167123,0.00001817808,0.9577703,0.000135721,0.0004121498,0.0002097523,0.000003133194,0.0001122329,0.009667303],"genre_scores_gemma":[0.9297063,0.000001754232,0.06921651,0.00007588641,0.00008101873,0.00001533281,7.13292e-7,0.000009250463,0.0008931751],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8980351,"threshold_uncertainty_score":0.4213203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08096821353481806,"score_gpt":0.266587394718857,"score_spread":0.1856191811840389,"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."}}