{"id":"W2897014420","doi":"10.1136/annrheumdis-2018-eular.1770","title":"AB0825 Managing systemic sclerosis: assessing the educational needs of rheumatologists","year":2018,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sinai Health System; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Rheumatology; Multiple sclerosis; Intensive care medicine; Physical therapy; Internal medicine; Immunology","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":[0.002671771,0.0002396466,0.0004554887,0.001041248,0.0009577633,0.000915401,0.0004787869,0.0009732809,0.003937159],"category_scores_gemma":[0.01357316,0.0001938291,0.0004691357,0.0005896959,0.0001650185,0.0007929156,0.0009964055,0.001006566,0.0008387667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057994,"about_ca_system_score_gemma":0.002890934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005603948,"about_ca_topic_score_gemma":0.01111836,"domain_scores_codex":[0.9977664,0.0007928782,0.0002658818,0.0000673399,0.0006587373,0.0004489034],"domain_scores_gemma":[0.9934071,0.001542241,0.001352773,0.0000576365,0.001329742,0.002310519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004964855,0.002459158,0.8589885,0.0005016845,0.00009288835,0.0008943095,0.004177798,0.0002526389,0.0007410012,0.0001284223,0.01048049,0.1207866],"study_design_scores_gemma":[0.00009865267,0.001274925,0.9773721,0.0004767159,0.0001111109,0.001143529,0.008059805,0.0007542075,0.0003093582,0.0001924278,0.01017227,0.0000348296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768151,0.001204628,0.0001645354,0.005842939,0.00009047338,0.0002183956,0.0003373119,0.0000319566,0.01529467],"genre_scores_gemma":[0.9933426,0.001375327,0.001700594,0.001112659,0.0001109145,0.000258836,0.000297167,0.000008846372,0.00179302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005603948,"threshold_uncertainty_score":0.01412982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06641226476984105,"score_gpt":0.3388053058105379,"score_spread":0.2723930410406968,"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."}}