{"id":"W4403602249","doi":"10.58931/cht.2023.2s1137","title":"An internet-based educational algorithm for the work-up, diagnosis and management of patients with myelodysplastic syndromes from the Canadian Consortium on MDS","year":2023,"lang":"en","type":"article","venue":"Canadian Hematology Today","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital; Centre Hospitalier de l’Université de Montréal; Juravinski Cancer Centre; St. Paul's Hospital","funders":"McGill University; Celgene","keywords":"Myelodysplastic syndromes; The Internet; Algorithm; Computer science; Work (physics); Medicine; Engineering; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002650275,0.001502304,0.0007778028,0.005286256,0.001891707,0.002037791,0.001968574,0.001741688,0.04965356],"category_scores_gemma":[0.0129463,0.0005774034,0.001229722,0.002555801,0.0004631145,0.001806852,0.002270993,0.002475617,0.01512428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008955353,"about_ca_system_score_gemma":0.01515276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1490618,"about_ca_topic_score_gemma":0.2647234,"domain_scores_codex":[0.9984761,0.0003945295,0.0002735966,0.0001303642,0.0004595907,0.0002658282],"domain_scores_gemma":[0.9937382,0.001047069,0.0004882895,0.0001427941,0.003431847,0.001151834],"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":[0.0002172004,0.0003058063,0.01048948,0.0003934522,0.00003739487,0.000977584,0.0004003338,0.00211616,0.0004081081,0.002124428,0.7698291,0.212701],"study_design_scores_gemma":[0.00087148,0.0002986753,0.04708615,0.002891363,0.0001676566,0.002519139,0.0009046334,0.01134436,0.001213209,0.008595541,0.9238202,0.0002876172],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.04562996,0.008914223,0.1653282,0.1523981,0.005108561,0.03898795,0.1181903,0.02478851,0.4406542],"genre_scores_gemma":[0.09272427,0.01017329,0.6852556,0.02520238,0.001477502,0.01370665,0.079018,0.001594921,0.09084736],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1490618,"threshold_uncertainty_score":0.2963884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02211664135518683,"score_gpt":0.2811855605360896,"score_spread":0.2590689191809028,"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."}}