{"id":"W4417252149","doi":"10.1109/jbhi.2025.3625375","title":"An Efficient Transfer Learning With Prompt Learning for Brain Disorders Diagnosis","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interpretability; Transfer of learning; Neuroimaging; Autism; Autism spectrum disorder; Deep learning; Brain disease; Disease","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":[0.001376925,0.0001147145,0.0002867517,0.0002510248,0.0005389745,0.00004803335,0.0001129593,0.00005279098,0.000004365341],"category_scores_gemma":[0.001734321,0.00007789271,0.00005109052,0.0003022488,0.0002231957,0.0001836404,0.00001376018,0.0004447052,7.258781e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005989962,"about_ca_system_score_gemma":0.0002852022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006313664,"about_ca_topic_score_gemma":0.00001083042,"domain_scores_codex":[0.9984966,0.00009832643,0.000649327,0.00009484823,0.0003869493,0.0002739748],"domain_scores_gemma":[0.9969107,0.00253089,0.0002261054,0.00005170041,0.00007954414,0.0002010925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001854728,0.002238759,0.0282304,0.007027925,0.0002608203,0.00001431866,0.0443674,0.08230112,0.001641488,0.005327664,0.03090785,0.7958275],"study_design_scores_gemma":[0.01018929,0.0268671,0.01350589,0.002083544,0.000102624,0.0002068404,0.01053328,0.2581052,0.002865064,0.001263368,0.673611,0.0006667524],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.681066,0.0001533171,0.2353267,0.08230367,0.0005239564,0.0004700944,0.000006573199,0.00003767237,0.000112032],"genre_scores_gemma":[0.9897918,0.0004087955,0.00143368,0.008182369,0.0001016028,0.00002279731,0.000001156487,0.000007953159,0.00004988936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7951608,"threshold_uncertainty_score":0.414541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974073737423835,"score_gpt":0.3219097206950961,"score_spread":0.2921689833208578,"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."}}