{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008101267,0.000455628,0.0004015451,0.0003923119,0.0003388856,0.0004860006,0.0008670767,0.0007389748,0.09817039],"category_scores_gemma":[0.00196062,0.0001951794,0.00032749,0.0001363016,0.0001842764,0.0004267211,0.001117997,0.0004266014,0.01874112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198653,"about_ca_system_score_gemma":0.001043438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009962455,"about_ca_topic_score_gemma":0.001879501,"domain_scores_codex":[0.9996704,0.00010132,0.00001609748,0.00004469489,0.0001267209,0.00004081401],"domain_scores_gemma":[0.999239,0.0001275788,0.00001837188,0.0001337808,0.0002686381,0.0002127037],"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":[0.005413305,0.002033955,0.01015448,0.0006192249,0.0001253181,0.001340794,0.00112123,0.064241,0.1821466,0.004043084,0.1781699,0.5505912],"study_design_scores_gemma":[0.001449165,0.006179883,0.02637918,0.0001824392,0.0001992575,0.001580402,0.000544286,0.3578427,0.105659,0.00322082,0.4965013,0.0002614413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4756202,0.0005624239,0.2705799,0.001318615,0.002585134,0.005183424,0.01777618,0.0463771,0.1799969],"genre_scores_gemma":[0.7206326,0.0002958043,0.09679375,0.0002059652,0.0001742231,0.001671442,0.009236749,0.001886218,0.1691034],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09817039,"threshold_uncertainty_score":0.3284127,"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."}}