{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004916654,0.0005921177,0.0009988158,0.00305752,0.0007182638,0.00431307,0.001760692,0.00130991,0.1672799],"category_scores_gemma":[0.02977487,0.0008222156,0.0006662752,0.002886178,0.0003347292,0.004529156,0.003995473,0.001619013,0.1244693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309824,"about_ca_system_score_gemma":0.002709209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003353555,"about_ca_topic_score_gemma":0.003800573,"domain_scores_codex":[0.9975903,0.0007433677,0.0005246095,0.000303603,0.0006429728,0.000195147],"domain_scores_gemma":[0.9776893,0.004607404,0.002680782,0.004503984,0.004298368,0.006220238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002944616,0.00005641846,0.005607117,0.0002188612,0.00002526847,0.00007963246,0.0001022298,0.00005996659,0.0003879897,0.001188956,0.9361798,0.05579932],"study_design_scores_gemma":[0.0004447893,0.000136828,0.02340848,0.0004484411,0.00004575054,0.0002684364,0.0001752913,0.0004098094,0.001005332,0.001727156,0.9718711,0.00005865557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01937923,0.003491688,0.01916631,0.04326688,0.004225543,0.003355017,0.7133356,0.05380671,0.139973],"genre_scores_gemma":[0.06263424,0.003277068,0.05516545,0.02017507,0.003770309,0.004038978,0.7760898,0.01205376,0.06279528],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1672799,"threshold_uncertainty_score":0.559607,"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."}}