{"id":"W4400979716","doi":"10.1007/978-3-031-58396-4_2","title":"RACE: A Real-Time Architecture for Cognitive State Estimation, Development Overview and Study in Progress","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in information systems and organisation","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; HEC Montréal","funders":"","keywords":"Race (biology); Architecture; Estimation; State (computer science); Cognition; Computer science; Psychology; Geography; Engineering; Sociology; Systems engineering; Programming language; Archaeology; Neuroscience; Gender studies","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002151111,0.00125036,0.0008818792,0.0008171304,0.0003457564,0.002013789,0.003614648,0.0009589914,0.0144789],"category_scores_gemma":[0.003115629,0.0006878154,0.0007419141,0.0006536293,0.0006174963,0.003312882,0.001130903,0.001691301,0.005318551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007350273,"about_ca_system_score_gemma":0.001656168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007033748,"about_ca_topic_score_gemma":0.004584582,"domain_scores_codex":[0.9993862,0.00008159022,0.00003665385,0.0002376374,0.0002016485,0.0000561667],"domain_scores_gemma":[0.9986476,0.0004173659,0.0000720134,0.0002699888,0.0004979656,0.00009503622],"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":[0.0007961554,0.0001765793,0.00128268,0.0004038908,0.0001287611,0.000104836,0.000371952,0.01876783,0.0392463,0.01958289,0.01624553,0.9028927],"study_design_scores_gemma":[0.000157999,0.001648584,0.004122271,0.0002469917,0.0003695159,0.0008118267,0.0001717777,0.7217219,0.09038302,0.03059993,0.1495683,0.0001978483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007122318,0.001933154,0.9655138,0.0002093862,0.0001870346,0.0001559728,0.0003566799,0.02016035,0.004361274],"genre_scores_gemma":[0.107429,0.002450064,0.8577546,0.0002738936,0.0001654239,0.0004859672,0.001702541,0.002103865,0.02763469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0144789,"threshold_uncertainty_score":0.0484367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181131579722479,"score_gpt":0.2788918031770463,"score_spread":0.2570804873798215,"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."}}