{"id":"W4394601559","doi":"10.1212/wnl.0000000000205234","title":"First Cross-sectional Analysis from the ME&MGopen Study: A Decentralized Study on App-based Myasthenia Gravis (P4-11.005)","year":2024,"lang":"en","type":"article","venue":"Neurology","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Myasthenia gravis; Cross-sectional study; Medicine; Psychology; Computer science; Internal medicine; Pathology","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":[0.0024537,0.000686261,0.0007699017,0.001001357,0.001490919,0.001144911,0.0006494153,0.001053434,0.003814824],"category_scores_gemma":[0.005071082,0.0006932334,0.001027022,0.001543082,0.0004151448,0.001079936,0.001423641,0.001568885,0.001461399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009737302,"about_ca_system_score_gemma":0.001167601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206959,"about_ca_topic_score_gemma":0.01655647,"domain_scores_codex":[0.9979248,0.0009352564,0.0002060859,0.0003352399,0.0002768185,0.0003217858],"domain_scores_gemma":[0.9956019,0.0007992594,0.001286588,0.0006382503,0.0008068471,0.0008672731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001597453,0.001676008,0.9887137,0.0001649152,0.0004313135,0.0001313638,0.0008265948,0.00005104272,0.0005241339,0.00008917642,0.001936079,0.003858245],"study_design_scores_gemma":[0.0004094121,0.00292752,0.9934956,0.000053346,0.00028971,0.0001679709,0.0008114328,0.0001231703,0.00008981938,0.00004083959,0.001575396,0.00001586084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883037,0.0003444702,0.000863537,0.0001477197,0.00003273167,0.001333864,0.007280045,0.00002282445,0.001671037],"genre_scores_gemma":[0.982426,0.0002365679,0.001616541,0.0008735781,0.00008356399,0.003791308,0.009420024,0.00002936661,0.001522843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206959,"threshold_uncertainty_score":0.02399868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03618951131682382,"score_gpt":0.3364549994269829,"score_spread":0.3002654881101591,"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."}}