{"id":"W7038293712","doi":"","title":"Independent component analysis of simultaneously acquired electroencephalography and functional magnetic resonance imaging in focal epilepsy patients","year":2010,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Biomimetic flight and propulsion mechanisms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Electroencephalography; Hemodynamics; Magnetic resonance imaging; Epilepsy; Functional magnetic resonance imaging; Haemodynamic response; EEG-fMRI; Modality (human–computer interaction)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005704315,0.0005390828,0.0003981525,0.001077783,0.0001961417,0.0004604042,0.0002320638,0.0003532069,0.001133054],"category_scores_gemma":[0.002520117,0.00009113081,0.0004183448,0.0008620818,0.0001317522,0.0002529826,0.0002759905,0.0002919685,0.0002494686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003053946,"about_ca_system_score_gemma":0.00053813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004168633,"about_ca_topic_score_gemma":0.005220688,"domain_scores_codex":[0.9997284,0.00008070437,0.000027854,0.00006697216,0.00005954377,0.00003648512],"domain_scores_gemma":[0.9995688,0.00021023,0.00005996196,0.00003963924,0.0000935967,0.00002786603],"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":[0.00425043,0.0005742952,0.4154268,0.0003578754,0.0008325414,0.003985435,0.0008345406,0.02351448,0.04248056,0.001874799,0.00982285,0.4960454],"study_design_scores_gemma":[0.00009040417,0.0005093478,0.8781984,0.00005261103,0.0003060093,0.003167528,0.0004816689,0.10391,0.00757705,0.002165347,0.00346342,0.00007813486],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982825,0.0005293199,0.01397158,0.0002239455,0.00005087879,0.0001008307,0.0009667232,0.00009979669,0.001231949],"genre_scores_gemma":[0.9906177,0.0003212231,0.006908091,0.00002470781,0.00002947443,0.00006540649,0.00162506,0.00002174749,0.000386671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004168633,"threshold_uncertainty_score":0.008288741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005316587190172185,"score_gpt":0.1919575846784506,"score_spread":0.1866409974882784,"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."}}