{"id":"W4386850841","doi":"10.1111/bjh.19107","title":"Ratio of stemness to interferon signalling as a biomarker and therapeutic target of myeloproliferative neoplasm progression to acute myeloid leukaemia","year":2023,"lang":"en","type":"article","venue":"British Journal of Haematology","topic":"Myeloproliferative Neoplasms: Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"Instituto Nacional de Ciência e Tecnologia da Criosfera; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Institute of Cancer Research; Ontario Institute for Cancer Research; World Health Organization","keywords":"Myeloproliferative neoplasm; Interferon; Cancer research; Biology; Myeloid; Biomarker; Immunology; Stem cell; Myelofibrosis; Bone marrow; Cell biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004319925,0.0002246887,0.0003960442,0.0006453955,0.0001035324,0.0005472975,0.0001524059,0.0002984503,0.001039247],"category_scores_gemma":[0.0004129477,0.00009755871,0.00008267388,0.0003395616,0.0001801336,0.0002330743,0.0001763043,0.0006812094,0.000292678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000322438,"about_ca_system_score_gemma":0.0001542099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001029606,"about_ca_topic_score_gemma":0.0001682074,"domain_scores_codex":[0.9997242,0.00008720613,0.00002279694,0.00003403089,0.0001065812,0.00002527823],"domain_scores_gemma":[0.9997943,0.0000538521,0.0000757354,0.00001285581,0.00003129746,0.00003193328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001741077,0.0002342866,0.02196932,0.0003508459,0.00004318885,0.0002218407,0.00009669595,0.0003761438,0.8809913,0.0004174424,0.000488058,0.09306981],"study_design_scores_gemma":[0.0001796699,0.009966858,0.276778,0.000152826,0.0002820975,0.004635296,0.000278928,0.004779509,0.6709207,0.001367465,0.03062,0.00003864386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9578898,0.03227568,0.003862168,0.00052602,0.0000640733,0.0001383436,0.0004209541,0.0001749651,0.004647973],"genre_scores_gemma":[0.992649,0.003658927,0.002221725,0.0001286418,0.00004518342,0.00007573686,0.0002915121,0.00001253098,0.0009165782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001039247,"threshold_uncertainty_score":0.00347662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302117307169929,"score_gpt":0.3267730560534265,"score_spread":0.3037518829817273,"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."}}