{"id":"W7097683588","doi":"","title":"Author manuscript, published in "38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver: Canada (2013)" JOINT BSS AS A NATURAL ANALYSIS FRAMEWORK FOR EEG-HYPERSCANNING","year":2013,"lang":"en","type":"article","venue":"","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blind signal separation; Joint (building); Signal processing; Source separation; Point (geometry); Independent component analysis; SIGNAL (programming language)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002610533,0.001080852,0.001574481,0.002475751,0.001889456,0.006922692,0.00151173,0.001586607,0.4922847],"category_scores_gemma":[0.01168764,0.0007326583,0.0009536757,0.003124134,0.001282061,0.003308562,0.002342755,0.001358402,0.2344451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332879,"about_ca_system_score_gemma":0.00267718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005331126,"about_ca_topic_score_gemma":0.01447806,"domain_scores_codex":[0.9987785,0.0001618304,0.000113221,0.0003265347,0.0004725223,0.0001473404],"domain_scores_gemma":[0.9937868,0.0008454625,0.0001511556,0.0007539726,0.003792057,0.0006704836],"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":[0.0003193056,0.0000665743,0.0008960607,0.0004609477,0.00008178883,0.0003275296,0.0001541457,0.001049618,0.002732826,0.007088305,0.7691885,0.2176344],"study_design_scores_gemma":[0.00003867724,0.00007350509,0.0009757117,0.0001675394,0.00003128626,0.0003681589,0.0001964217,0.002679312,0.003453985,0.003944761,0.9880369,0.00003372685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01053895,0.01559153,0.1247392,0.04216419,0.3583319,0.0007351406,0.01406509,0.008917949,0.424916],"genre_scores_gemma":[0.01531482,0.005630146,0.02766654,0.001161186,0.005981306,0.00007882496,0.003895562,0.002273385,0.9379982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4922847,"threshold_uncertainty_score":0.7241943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04188831268109783,"score_gpt":0.2952308591725464,"score_spread":0.2533425464914486,"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."}}