{"id":"W4407126910","doi":"10.1007/s13246-024-01501-1","title":"Correction to: Transfer learning and self-distillation for automated detection of schizophrenia using single-channel EEG and scalogram images","year":2025,"lang":"en","type":"erratum","venue":"Physical and Engineering Sciences in Medicine","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Electroencephalography; Computer science; Schizophrenia (object-oriented programming); Artificial intelligence; Transfer of learning; Channel (broadcasting); Distillation; Transfer (computing); Pattern recognition (psychology); Machine learning; Psychology; Chemistry; Neuroscience; Chromatography; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003507903,0.003649614,0.002622886,0.005239645,0.003828064,0.002909608,0.004263461,0.007719882,0.1573969],"category_scores_gemma":[0.07256519,0.001464273,0.001704492,0.003124458,0.00238501,0.002573121,0.003128688,0.006743313,0.06935816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003257786,"about_ca_system_score_gemma":0.004811109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01373679,"about_ca_topic_score_gemma":0.0197884,"domain_scores_codex":[0.9955559,0.0005559578,0.001013505,0.0006887111,0.001755147,0.0004307169],"domain_scores_gemma":[0.9578381,0.008898025,0.001961164,0.004477104,0.02497475,0.001850906],"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":[0.0001344123,0.00002838577,0.0001894336,0.0002102565,0.00002850021,0.0005695679,0.00005431837,0.0001741632,0.0004583622,0.001256806,0.9776404,0.0192555],"study_design_scores_gemma":[0.000238408,0.0001099269,0.002660885,0.0004458813,0.00008916792,0.002722922,0.0002511711,0.007942851,0.006238183,0.01030747,0.9687871,0.0002060605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00113576,0.0007655788,0.009573217,0.03281486,0.9454084,0.0001060232,0.003197008,0.004128708,0.002870485],"genre_scores_gemma":[0.08243655,0.00477295,0.1067765,0.06069714,0.2393882,0.0008489809,0.01050281,0.01223061,0.4823462],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1573969,"threshold_uncertainty_score":0.526545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662350297725248,"score_gpt":0.279813587175864,"score_spread":0.2631900841986115,"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."}}