{"id":"W4386952273","doi":"10.1109/iceccme57830.2023.10252726","title":"Clinical Grade Prediction of Therapeutic Dosage for Electroconvulsive Therapy (ECT) Based on Patient’s Pre-Ictal EEG Using Fuzzy Causal Transformers","year":2023,"lang":"en","type":"article","venue":"","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec; Université du Québec à Trois-Rivières","funders":"","keywords":"Electroconvulsive therapy; Ictal; Electroencephalography; Fuzzy logic; Medicine; Psychology; Psychiatry; Computer science; Artificial intelligence","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":[0.0004094613,0.0005051423,0.000319843,0.001252974,0.0001506777,0.0006103584,0.0002635261,0.0003363988,0.001079374],"category_scores_gemma":[0.00261207,0.0001191452,0.0003677057,0.0003376229,0.0001385785,0.0003926074,0.0001824664,0.0003406414,0.0002072804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512156,"about_ca_system_score_gemma":0.0005227278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006168726,"about_ca_topic_score_gemma":0.007397434,"domain_scores_codex":[0.9998134,0.00003236306,0.00003078582,0.00005023514,0.00005118496,0.00002215418],"domain_scores_gemma":[0.9993157,0.0003486013,0.0001045367,0.00002834479,0.0001748116,0.00002796884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001017462,0.0003602241,0.1705065,0.0002312569,0.0002372269,0.0007516924,0.0001576821,0.2668826,0.01270672,0.002512874,0.005637336,0.5389984],"study_design_scores_gemma":[0.00002103284,0.00007370372,0.01699755,0.00001537194,0.00005291045,0.0001545131,0.00003251695,0.9778705,0.002745664,0.001583443,0.0004372064,0.00001562345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5164461,0.0008852952,0.4738716,0.0007182472,0.0001391595,0.0002200082,0.001611518,0.001156924,0.004951217],"genre_scores_gemma":[0.9818612,0.0001686206,0.01698053,0.00003890554,0.00002179932,0.00002709706,0.0004216374,0.00001513732,0.0004650238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006168726,"threshold_uncertainty_score":0.01226562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093853808788647,"score_gpt":0.349525682917047,"score_spread":0.2401403020381823,"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."}}