{"id":"W4398781385","doi":"10.1017/cjn.2024.94","title":"D3 Interim results for Myasthenia Gravis-resource utilization, epidemiology, survival &amp; treatment patterns (MG-REST) study in Ontario, Canada","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Myasthenia gravis; Incidence (geometry); Cohort; Epidemiology; Interim analysis; Retrospective cohort study; Interim; Population; Cohort study; Pediatrics; Internal medicine; Clinical trial; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.000936083,0.0003366396,0.0006317601,0.000699025,0.00216968,0.001055437,0.0009668689,0.0003781262,0.002671616],"category_scores_gemma":[0.001912907,0.0002877912,0.0008543244,0.002460361,0.0004091412,0.0003351862,0.0007851196,0.0006478605,0.0003517696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03466187,"about_ca_system_score_gemma":0.05673538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937262,"about_ca_topic_score_gemma":0.9966075,"domain_scores_codex":[0.9989251,0.00009327313,0.00007096806,0.0001514782,0.0003807275,0.0003783763],"domain_scores_gemma":[0.9981178,0.00005484537,0.0003338109,0.00006849613,0.0008680865,0.0005570151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005905714,0.00006763786,0.9666086,0.0002161771,0.0002632079,0.0001325822,0.0003798794,0.0002528871,0.0003101935,0.0003028793,0.02120849,0.009666886],"study_design_scores_gemma":[0.0001151592,0.00005223559,0.995385,0.0001035692,0.000104456,0.00006663243,0.0003223943,0.000305141,0.00005410054,0.00004982079,0.003429011,0.00001245794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8196675,0.004873128,0.0006445492,0.003848779,0.000107779,0.0007577973,0.15621,0.0001025086,0.01378795],"genre_scores_gemma":[0.9649945,0.00133632,0.0008345813,0.0009434341,0.00004395339,0.0002933236,0.02633826,0.00002695203,0.00518862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03466187,"threshold_uncertainty_score":0.2514907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.147037804728689,"score_gpt":0.3507706232593686,"score_spread":0.2037328185306796,"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."}}