{"id":"W4400618254","doi":"10.1016/j.cnp.2024.06.004","title":"Using jitter analysis with concentric needle electrodes to assess disease status and treatment responses in myasthenia gravis","year":2024,"lang":"en","type":"article","venue":"Clinical Neurophysiology Practice","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Myasthenia gravis; Jitter; Medicine; Concentric; Electrode; Biomedical engineering; Internal medicine; Electrical engineering; Engineering; Chemistry; Mathematics","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":[0.002345321,0.0002455651,0.0003411839,0.000915489,0.0001657035,0.0004903766,0.0002010116,0.0001819666,0.0005535231],"category_scores_gemma":[0.008210688,0.00008635995,0.0002034115,0.0006181832,0.000187895,0.000371039,0.0003305429,0.0001435275,0.0001470789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002886087,"about_ca_system_score_gemma":0.0002176357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00154878,"about_ca_topic_score_gemma":0.002182541,"domain_scores_codex":[0.9988709,0.0005198975,0.0001677122,0.0001365445,0.0002492305,0.00005578406],"domain_scores_gemma":[0.995778,0.001513273,0.001819492,0.0001723759,0.0005975436,0.0001192872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001094628,0.000064684,0.9123717,0.0001373454,0.0001589649,0.0002422983,0.0002217313,0.00104694,0.006749129,0.00006541109,0.0002140111,0.07763316],"study_design_scores_gemma":[0.00003701627,0.001026654,0.9889411,0.00006116155,0.0001387378,0.001686749,0.0001533856,0.004193424,0.003170247,0.0001040082,0.0004696434,0.0000178683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902074,0.00310955,0.00473204,0.00007035804,0.00003038207,0.00006268334,0.0002270938,0.00005766405,0.00150289],"genre_scores_gemma":[0.9975,0.0003429038,0.001895553,0.00002958801,0.00002036284,0.00001202395,0.00007484392,0.000003853794,0.0001208974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002345321,"threshold_uncertainty_score":0.01240343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1287631775276349,"score_gpt":0.451612038017072,"score_spread":0.3228488604894372,"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."}}