{"id":"W4384274087","doi":"10.58931/cht.2022.1317","title":"The evolving treatment landscape of higher-risk MDS","year":2022,"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":"University of Saskatchewan","funders":"","keywords":"Cytopenia; Myelodysplastic syndromes; Incidence (geometry); Myeloid leukemia; Medicine; Internal medicine; Oncology; Dysplasia; Leukemia; Bone marrow","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":[0.004427802,0.0002491798,0.0006887242,0.001045904,0.001189917,0.002858599,0.00104431,0.0014443,0.006688795],"category_scores_gemma":[0.00989983,0.0001666542,0.0004727706,0.0011458,0.001450106,0.001760473,0.001925532,0.003801087,0.001339623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007047877,"about_ca_system_score_gemma":0.009355996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0104866,"about_ca_topic_score_gemma":0.02854918,"domain_scores_codex":[0.9973956,0.0007520595,0.0002779533,0.0003522741,0.0008669146,0.0003551773],"domain_scores_gemma":[0.9941908,0.001227705,0.0006281249,0.0001140446,0.001748903,0.002090347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003893163,0.0001550256,0.01060915,0.0009219683,0.00008217798,0.0008737262,0.00106631,0.001667179,0.001640642,0.03040974,0.1403212,0.8118636],"study_design_scores_gemma":[0.000120608,0.0004430443,0.01856888,0.002912247,0.00009886277,0.004138642,0.002174556,0.0008517641,0.0006929735,0.02297217,0.9469446,0.00008161942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0316834,0.3290873,0.003599719,0.5835587,0.00288467,0.00005566391,0.0006420633,0.0001717321,0.04831672],"genre_scores_gemma":[0.3701363,0.4462026,0.01045064,0.1388476,0.02227656,0.0002471299,0.002014592,0.0003747781,0.009449678],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0104866,"threshold_uncertainty_score":0.05113614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449227060263991,"score_gpt":0.2728385811535192,"score_spread":0.2583463105508793,"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."}}