{"id":"W4367601910","doi":"10.1016/j.leukres.2023.107277","title":"Topic: AS08-Treatment/AS08j-Supportive care, transfusion medicine and MDS, iron overload: MDS CLEARPATH: A WEB-BASED EDUCATIONAL ALGORITHM FOR THE DIAGNOSIS AND MANAGEMENT OF PATIENTS WITH MYELODYSPLASTIC SYNDROMES FROM THE CANADIAN CONSORTIUM ON MDS (CCMDS); 2023 UPDATE","year":2023,"lang":"en","type":"article","venue":"Leukemia Research","topic":"Elbow and Forearm Trauma Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; Juravinski Cancer Centre; St. Paul's Hospital; McGill University; Centre Hospitalier de l’Université de Montréal; University of British Columbia","funders":"","keywords":"Medicine; Intraclass correlation; Kappa; Orthopedic surgery; Surgery","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003285955,0.0002381044,0.0003181751,0.0002544524,0.0005452076,0.00003652717,0.0001359109,0.00010208,0.0002149222],"category_scores_gemma":[0.00005345543,0.0001238386,0.00005904821,0.000431824,0.0005312192,0.00004280945,0.00003799984,0.0002392187,0.00001740191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009655743,"about_ca_system_score_gemma":0.0008472307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08583359,"about_ca_topic_score_gemma":0.05989292,"domain_scores_codex":[0.9978481,0.0001110217,0.0002650177,0.0004721955,0.000801201,0.0005024768],"domain_scores_gemma":[0.9973453,0.001658731,0.00006024714,0.0003998601,0.0002508073,0.0002850332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002316894,0.0006749977,0.567434,0.0007847812,0.001727355,0.0003078037,0.005086653,0.0000656786,0.0000236069,0.001492437,0.01683772,0.4032481],"study_design_scores_gemma":[0.01014964,0.003953985,0.971993,0.0006938182,0.0005231222,0.000004033634,0.002476915,0.001608153,0.0001265794,0.0001392054,0.0081787,0.0001529001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984698,0.001006484,0.00001495149,0.009410812,0.0001236505,0.003028109,0.00105585,0.00002144161,0.0006407194],"genre_scores_gemma":[0.990724,0.005080447,0.0003120432,0.0002347507,0.00011258,0.001265182,0.001284532,0.00003900371,0.0009475168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4045589,"threshold_uncertainty_score":0.9572616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05455240344001887,"score_gpt":0.3387365405749015,"score_spread":0.2841841371348826,"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."}}