{"id":"W4391476496","doi":"10.1136/bmjno-2022-anzan.61","title":"2251 MGBase: ready, set, go! The launch of an international electronic database for patients with Myasthenia Gravis","year":2022,"lang":"en","type":"article","venue":"Abstracts","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":"Milestone; Exacerbation; Observational study; Medicine; Myasthenia gravis; Family medicine; Pediatrics; Internal medicine; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003720595,0.0001348665,0.0001827203,0.00007059609,0.0001458235,0.00001495744,0.0002684276,0.00002528317,0.0004106144],"category_scores_gemma":[0.0000512666,0.00008933011,0.00005844366,0.0001184358,0.00005175281,0.0001267449,0.00006874735,0.0002565979,0.000008952466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000753659,"about_ca_system_score_gemma":0.0001637004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001510563,"about_ca_topic_score_gemma":0.0000747957,"domain_scores_codex":[0.9986372,0.00003591058,0.0002716455,0.0002536504,0.0005175144,0.000284071],"domain_scores_gemma":[0.998993,0.00008511967,0.0001929143,0.0004732465,0.0001654204,0.00009029333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04487991,0.02401504,0.5814965,0.001087615,0.004010115,0.0005155475,0.009044696,0.001547591,0.02026859,0.09958643,0.05907346,0.1544746],"study_design_scores_gemma":[0.008007473,0.004885404,0.571445,0.0000669061,0.0002537746,0.0001370612,0.0004694888,0.0003920009,0.002301523,0.0009514872,0.4107499,0.000339998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996655,0.00004227237,0.00002173926,0.0006061835,0.0001336814,0.0006453005,0.000806025,0.00002338472,0.001066404],"genre_scores_gemma":[0.9957917,0.000005951592,0.0003618244,0.0003727748,0.0001000663,0.0001063283,0.002511459,0.00003167705,0.0007181714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3516764,"threshold_uncertainty_score":0.449594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125941970779386,"score_gpt":0.2712273375337778,"score_spread":0.2586331404558392,"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."}}