{"id":"W7011234041","doi":"","title":"Magnetoencephalography brain biomarkers of Alzheimer's disease: an ongoing study based on the BioFIND dataset","year":2024,"lang":"en","type":"article","venue":"Ulster University Research Portal (Ulster University)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Universität Regensburg; University of Glasgow","keywords":"Magnetoencephalography; Support vector machine; Pattern recognition (psychology); Classifier (UML); Brain activity and meditation; Feature selection; Neuroimaging; Cognition","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":[0.001287702,0.000302967,0.000266577,0.0023945,0.001011353,0.0001684777,0.001303796,0.00008302183,0.0005040827],"category_scores_gemma":[0.0007849954,0.0002750302,0.00021325,0.003779762,0.001393062,0.001114563,0.0007774879,0.0006157778,0.00007288498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113669,"about_ca_system_score_gemma":0.0003486144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000280208,"about_ca_topic_score_gemma":0.000322959,"domain_scores_codex":[0.9946241,0.001931346,0.0001854429,0.001266463,0.001354285,0.0006383772],"domain_scores_gemma":[0.9926352,0.005701961,0.00007994888,0.001061828,0.0001695372,0.0003515347],"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":[0.01330147,0.01153004,0.1692345,0.0007876654,0.003299227,0.07171667,0.008885661,0.001037977,0.04167609,0.07343011,0.5933294,0.01177125],"study_design_scores_gemma":[0.006714019,0.009460434,0.1333981,0.0008416439,0.001140831,0.00004180375,0.07139752,0.0183576,0.006904425,0.0006455067,0.7484195,0.002678586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418816,0.0001022677,0.000200841,0.01824438,0.0005494633,0.002739785,0.005954845,0.000326337,0.03000049],"genre_scores_gemma":[0.9973841,0.00001493976,0.00002441838,0.0005742068,0.00004546691,0.000001164626,0.0001148875,0.00002662342,0.001814202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1550902,"threshold_uncertainty_score":0.9999702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0990965586453043,"score_gpt":0.3184440785083075,"score_spread":0.2193475198630032,"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."}}