{"id":"W3207137361","doi":"10.1016/j.neucom.2023.126236","title":"ToFFi – Toolbox for frequency-based fingerprinting of brain signals","year":2023,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"NIH Blueprint for Neuroscience Research; Medical Research Council; Narodowym Centrum Nauki; National Institutes of Health; McDonnell Center for Systems Neuroscience; Narodowe Centrum Nauki","keywords":"Toolbox; Computer science; Pattern recognition (psychology); Artificial intelligence; Speech recognition","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":[0.0008863194,0.001571664,0.0006282614,0.001671084,0.000247497,0.001374837,0.00183859,0.0007959559,0.08246868],"category_scores_gemma":[0.005217917,0.0005916111,0.0008001095,0.0007815522,0.0003608629,0.001358786,0.001386366,0.0014097,0.04270851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003773232,"about_ca_system_score_gemma":0.0007493997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008937696,"about_ca_topic_score_gemma":0.001272683,"domain_scores_codex":[0.9995202,0.00007291113,0.00006360647,0.0001066975,0.0001859049,0.00005076584],"domain_scores_gemma":[0.9986106,0.0005856525,0.0001405535,0.000208897,0.0003653061,0.00008885298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008449869,0.0001699975,0.003011712,0.002679165,0.0002545418,0.001106768,0.0004808148,0.02924777,0.05090561,0.0281253,0.3539443,0.5292292],"study_design_scores_gemma":[0.0003477806,0.000256243,0.006918078,0.0006254659,0.0001026215,0.003489612,0.0001644737,0.3191296,0.09438467,0.07833651,0.4959614,0.0002835513],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002673877,0.0004437574,0.8243418,0.0001679764,0.0001264151,0.0001412571,0.009907333,0.1550543,0.007143348],"genre_scores_gemma":[0.08651804,0.001145571,0.7968391,0.0006927063,0.0001865107,0.001667518,0.03039922,0.05934387,0.02320747],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08246868,"threshold_uncertainty_score":0.2758852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06898373581709642,"score_gpt":0.3050212427481844,"score_spread":0.2360375069310879,"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."}}