{"id":"W7132929869","doi":"","title":"Detection of Attentional Tunneling Using Passive Adaptive Triggers","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interrupt; Task (project management); Cognition; Classifier (UML); Task analysis; Multi-task learning","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":[0.0005463283,0.000337738,0.0002354086,0.0003350357,0.0001273374,0.0005459978,0.0003450916,0.0003352821,0.001033815],"category_scores_gemma":[0.005366714,0.0001538432,0.0001564635,0.0001958081,0.0003091425,0.0006927192,0.0004643272,0.0003346935,0.0002258966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001462718,"about_ca_system_score_gemma":0.0002453742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000490577,"about_ca_topic_score_gemma":0.0007293897,"domain_scores_codex":[0.9996001,0.0000931209,0.00002333364,0.0001211113,0.0001242057,0.00003816771],"domain_scores_gemma":[0.9986859,0.0007656554,0.0002277888,0.0001076111,0.0001575551,0.00005555884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002960221,0.0009037569,0.07079515,0.0006479094,0.0001124039,0.0004545432,0.002646281,0.007156014,0.5517256,0.002029942,0.00147975,0.3590885],"study_design_scores_gemma":[0.0003532948,0.007124923,0.4734272,0.0001552216,0.0002397342,0.001674411,0.001431313,0.25133,0.251056,0.008016307,0.005031649,0.0001599456],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237545,0.0001009269,0.07285085,0.00007029348,0.00003143863,0.0002064963,0.0001482153,0.0004466211,0.002390676],"genre_scores_gemma":[0.9813742,0.00006976473,0.0178169,0.00005163002,0.00001108902,0.00007565354,0.00007919249,0.00003024152,0.0004911971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001033815,"threshold_uncertainty_score":0.00345844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05340661211361553,"score_gpt":0.3464561428893879,"score_spread":0.2930495307757724,"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."}}