{"id":"W3217525502","doi":"10.18280/ts.380523","title":"Wavelet Based and Statistical EEG Analysis in Patients with Schizophrenia","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Schizophrenia (object-oriented programming); Wavelet; Electroencephalography; Statistical analysis; Psychology; Audiology; Psychiatry; Pattern recognition (psychology); Cognitive psychology; Statistics; Artificial intelligence; Medicine; Computer science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003119822,0.0001660706,0.0001777806,0.0009450926,0.0001081435,0.0002855659,0.0000675831,0.0001482853,0.000841859],"category_scores_gemma":[0.001870372,0.00005843497,0.0001294855,0.0006748681,0.0001595155,0.0001928633,0.0001609881,0.0001364369,0.0001564965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021798,"about_ca_system_score_gemma":0.0001174759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140822,"about_ca_topic_score_gemma":0.001295105,"domain_scores_codex":[0.9998534,0.00004451337,0.00002253508,0.00001820843,0.00004138626,0.00001994043],"domain_scores_gemma":[0.9995801,0.0001469195,0.0001331953,0.00002851379,0.00007603315,0.00003523617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001640802,0.0001134585,0.9081824,0.0001251072,0.0001177973,0.002192097,0.001416891,0.0008326263,0.02106784,0.0002766622,0.00054202,0.06349238],"study_design_scores_gemma":[0.00001146421,0.0002082192,0.9954025,0.000009303772,0.00002509789,0.00121228,0.000708769,0.001435581,0.0005359814,0.0001913495,0.0002525929,0.00000687332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987741,0.000174411,0.0004868777,0.00003823508,0.000004703684,0.000005478994,0.0001138929,0.000005747897,0.0003964964],"genre_scores_gemma":[0.9994577,0.0001196071,0.000212789,0.000006928756,0.000005292346,0.000003648462,0.0001005542,0.000001428664,0.0000921113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001140822,"threshold_uncertainty_score":0.00281626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205017358048487,"score_gpt":0.2305061549879431,"score_spread":0.2184559814074583,"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."}}