{"id":"W2139050793","doi":"10.1145/2732158.2732193","title":"MuLES","year":2015,"lang":"en","type":"article","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Interface (matter); Electroencephalography; Usability; Session (web analytics); Brain–computer interface; Human–computer interaction; Software; User interface; Multimedia; World Wide Web; Operating system","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":[0.00004448466,0.00003340956,0.00003347724,0.00001624832,0.00001590171,0.00003202593,0.000127495,0.00001113035,0.0000656272],"category_scores_gemma":[0.00009150326,0.00002309296,0.00001176452,0.00004580461,0.00002419047,0.00007390763,0.00004430988,0.00002777054,0.0005751668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004518591,"about_ca_system_score_gemma":0.000008954772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008062269,"about_ca_topic_score_gemma":0.000002315143,"domain_scores_codex":[0.9996607,0.00001902783,0.00004423702,0.0001094178,0.00008505812,0.00008155991],"domain_scores_gemma":[0.9997964,0.00004660086,0.000008533197,0.00008437435,0.000009015281,0.00005507535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002436838,0.0001654629,0.001432967,0.000007945022,0.000002998924,0.00006183192,0.001954125,0.0001800382,0.5424349,0.09144704,0.3292191,0.03306918],"study_design_scores_gemma":[0.0001330277,0.00004588146,0.00007247765,0.00000211284,4.624862e-7,0.00001597476,0.00005367301,0.002001337,0.8913271,0.002286999,0.1040029,0.00005807432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7635343,0.00001202379,0.001907531,0.0009639384,0.0003641833,0.00003282532,7.070368e-7,0.0001482483,0.2330362],"genre_scores_gemma":[0.9889523,6.75578e-7,0.0008515813,0.001882758,0.00005060959,8.752723e-7,6.765709e-8,0.000002725509,0.008258436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3488922,"threshold_uncertainty_score":0.7392798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09136051688208342,"score_gpt":0.3055750191858784,"score_spread":0.214214502303795,"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."}}