{"id":"W2945608185","doi":"10.1007/978-3-030-14323-7_3","title":"Brain-Computer Interfaces in Contemporary Art: A State of the Art and Taxonomy","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Brain–computer interface; Taxonomy (biology); State of art; Interface (matter); Visual arts; Key (lock); Computer science; State (computer science); Human–computer interaction; Art; Psychology; Data science; Electroencephalography; Neuroscience; Ecology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002125749,0.0004128309,0.0005933808,0.000206796,0.00003538279,0.00009987368,0.0006658045,0.0001498038,0.0001959742],"category_scores_gemma":[0.00002542976,0.0002707841,0.0001379525,0.0000495759,0.0003793005,0.0002015598,0.0006986618,0.0005179864,0.000289468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002725079,"about_ca_system_score_gemma":0.000131693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000111006,"about_ca_topic_score_gemma":0.00006266922,"domain_scores_codex":[0.9980501,0.00008201064,0.0006126697,0.0007267573,0.0002811017,0.000247366],"domain_scores_gemma":[0.9983153,0.0006443557,0.0003872793,0.0005581352,0.00003439671,0.00006055663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003647382,0.0002447635,0.001555695,0.0009700835,0.0001901687,0.0001608606,0.00215369,0.000290956,0.02618334,0.07729483,0.822491,0.0680998],"study_design_scores_gemma":[0.0006899538,0.0002846628,0.0001950154,0.0008661978,0.000007301884,0.0000466839,0.000009721779,0.001076309,0.04301907,0.003224703,0.9500737,0.0005066661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02111303,0.0002471701,0.0009067912,0.001987514,0.001093455,0.00148012,0.00008710133,0.00007015572,0.9730147],"genre_scores_gemma":[0.2100711,0.00003554552,0.0002589276,0.003490686,0.00006517643,0.000009928705,0.000002636847,0.00004473509,0.7860213],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.188958,"threshold_uncertainty_score":0.9999744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05298648493819397,"score_gpt":0.2464726093717002,"score_spread":0.1934861244335063,"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."}}