{"id":"W2071076292","doi":"10.1159/000375463","title":"Canadian Administrative Health Data Can Identify Patients with Myasthenia Gravis","year":2015,"lang":"en","type":"article","venue":"Neuroepidemiology","topic":"Myasthenia Gravis and Thymoma","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; American Brain Foundation","keywords":"Medicine; Myasthenia gravis; Family medicine; Intensive care medicine; Physical medicine and rehabilitation; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007679075,0.0002578617,0.0007370773,0.0001743039,0.0001161087,0.00001415591,0.0003946622,0.0001086538,0.00007353108],"category_scores_gemma":[0.001074947,0.0001904398,0.00004366992,0.0002237752,0.00015142,0.00008036212,0.0001088358,0.0004038188,0.00008656451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002203235,"about_ca_system_score_gemma":0.002292196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1155014,"about_ca_topic_score_gemma":0.258401,"domain_scores_codex":[0.9972751,0.0005116573,0.0005150688,0.0007073692,0.0002384749,0.0007523663],"domain_scores_gemma":[0.9965147,0.0001698428,0.0002374492,0.001213845,0.0002127708,0.001651338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000267054,0.0001072105,0.92546,0.00002290881,0.00005832075,0.0001785978,0.00028685,0.000001901981,0.00000314465,0.001055145,0.06910051,0.003458288],"study_design_scores_gemma":[0.002224547,0.002692719,0.8778228,0.00004309174,0.00005195479,0.0002112028,0.0001112264,0.0000868613,0.000003856837,0.0005731116,0.1159853,0.0001933329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951299,0.0001767237,0.00008402996,0.0444942,0.000468266,0.0007985978,0.0007028469,0.0000739576,0.001902381],"genre_scores_gemma":[0.9790878,0.00001386008,0.0009762381,0.01762024,0.0001570524,0.00001517869,0.001673444,0.00004366253,0.0004125812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1428997,"threshold_uncertainty_score":0.8903885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1759334452507756,"score_gpt":0.3948677653853561,"score_spread":0.2189343201345806,"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."}}