{"id":"W4412485495","doi":"10.2514/6.2025-4061","title":"Cognitive Assistance for Firefighting Multidomain Operations Using Reinforcement Learning and Generative AI","year":2025,"lang":"en","type":"article","venue":"","topic":"Elevator Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Reinforcement learning; Firefighting; Computer science; Generative grammar; Reinforcement; Cognition; Artificial intelligence; Human–computer interaction; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001004019,0.00009329792,0.0001232765,0.00004153508,0.0002616356,0.00006936272,0.00002132485,0.00003750907,0.000008292419],"category_scores_gemma":[0.00005117305,0.00008680826,0.00002514537,0.00007008122,0.00001259715,0.0000973561,0.00001124163,0.00007550573,8.51399e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004951898,"about_ca_system_score_gemma":0.00001857531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002452577,"about_ca_topic_score_gemma":0.0000822531,"domain_scores_codex":[0.9995356,0.00001591958,0.0001512702,0.0001148092,0.00004421151,0.0001382357],"domain_scores_gemma":[0.9997633,0.00008933756,0.00001192763,0.00003695117,0.00007623107,0.00002222282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003229002,0.00001424576,0.003604741,0.0002891275,0.0004519651,0.000002464167,0.001342298,0.7869037,0.1570418,0.03915006,0.0004882232,0.01067913],"study_design_scores_gemma":[0.0007010705,0.0000151282,0.00007076173,0.0001187223,0.00002316484,5.713179e-7,0.0005282499,0.9862859,0.008859706,0.00001767553,0.003272909,0.0001061152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1197191,0.0004652254,0.875719,0.0000688334,0.0001121981,0.0003619511,0.000003481867,0.00009439793,0.003455819],"genre_scores_gemma":[0.9924906,0.00000749734,0.004633616,0.0001731858,0.00005095462,0.0001105681,0.000005526241,0.00001087062,0.002517221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8727714,"threshold_uncertainty_score":0.3539938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115063903055439,"score_gpt":0.2706564477124765,"score_spread":0.2595058086819221,"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."}}