{"id":"W4407827561","doi":"10.54254/2755-2721/2025.20933","title":"Investigating the Potential of Brain-Computer Interfaces in Controlling Smart Home Devices for Individuals with Mobility Impairments","year":2025,"lang":"en","type":"article","venue":"Applied and Computational Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Human–computer interaction; Computer science; Brain–computer interface; Psychology; Neuroscience; Electroencephalography","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":[0.0002541188,0.0001331648,0.000193632,0.0001105269,0.00008086139,0.00007619613,0.000175642,0.0000319174,7.28085e-7],"category_scores_gemma":[0.00002835045,0.00009653805,0.00002615719,0.0002001674,0.0000772437,0.00008097742,0.00008459936,0.000110548,2.554552e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001383623,"about_ca_system_score_gemma":0.00003107078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005836872,"about_ca_topic_score_gemma":0.000002414031,"domain_scores_codex":[0.9991249,0.00002093833,0.0002779537,0.0002678292,0.0001396773,0.0001687158],"domain_scores_gemma":[0.9986895,0.001105142,0.00008047932,0.00007203855,0.00002672137,0.00002613862],"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":[0.00002565489,0.00004349199,0.002406682,0.0001593578,0.00003373496,6.575428e-7,0.0005001683,0.958419,0.02518147,0.009870298,0.00001583214,0.00334364],"study_design_scores_gemma":[0.001523877,0.00009111999,0.0363549,0.0001867173,0.00001341792,0.000007387888,0.0001278071,0.9428975,0.0132929,0.005267021,0.00007871364,0.0001586585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8138943,0.0000374333,0.1852352,0.0003454289,0.00007695649,0.0003433907,0.000008744002,0.00002977339,0.00002877548],"genre_scores_gemma":[0.9874997,7.440423e-7,0.01188517,0.0005117708,0.00002930726,0.00005691568,0.000003482624,0.000007844473,0.000005139508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1736053,"threshold_uncertainty_score":0.3936708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008064633509173896,"score_gpt":0.2300045830673977,"score_spread":0.2219399495582238,"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."}}