{"id":"W4386415343","doi":"10.1002/ajh.27079","title":"A globally applicable “triple <scp>A</scp>” risk model for essential thrombocythemia based on <scp>A</scp>ge, <scp>A</scp>bsolute neutrophil count, and <scp>A</scp>bsolute lymphocyte count","year":2023,"lang":"en","type":"article","venue":"American Journal of Hematology","topic":"Myeloproliferative Neoplasms: Diagnosis and Treatment","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Associazione Italiana per la Ricerca sul Cancro; Università degli Studi di Firenze; Ministero della Salute","keywords":"Medicine; Myelofibrosis; Internal medicine; Essential thrombocythemia; Absolute neutrophil count; Gastroenterology; Akaike information criterion; International Prognostic Scoring System; Lymphocyte; Neutropenia; Myelodysplastic syndromes; Bone marrow; Platelet; Chemotherapy","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":[0.005771588,0.001162186,0.0009337363,0.001097933,0.0003261648,0.0009364697,0.00153565,0.0006061126,0.005505957],"category_scores_gemma":[0.004164891,0.0003679685,0.003267409,0.0005892936,0.0002396818,0.000326749,0.001079232,0.001409296,0.0005429995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006946318,"about_ca_system_score_gemma":0.001583904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0130903,"about_ca_topic_score_gemma":0.008819759,"domain_scores_codex":[0.9981059,0.001296784,0.000079172,0.0002915617,0.00008894437,0.0001375707],"domain_scores_gemma":[0.9979461,0.001235532,0.0002343086,0.0001333358,0.000229056,0.0002216579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004100572,0.0005080769,0.8543919,0.0002539681,0.01117951,0.0006252553,0.0001851741,0.08174914,0.0009786858,0.002377287,0.01041489,0.03323557],"study_design_scores_gemma":[0.0009314637,0.00160579,0.2137148,0.0001513043,0.00566648,0.000801998,0.0004272174,0.7674884,0.0003946498,0.004907745,0.003841039,0.00006922624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408838,0.001269413,0.04720828,0.00237903,0.00027405,0.0003280234,0.005389359,0.0003729915,0.001895208],"genre_scores_gemma":[0.9872348,0.0001329009,0.007778119,0.0001477703,0.00009419935,0.0001994193,0.002605404,0.00004823691,0.00175924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0130903,"threshold_uncertainty_score":0.03052348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400645647784597,"score_gpt":0.2743805648801947,"score_spread":0.2603741084023488,"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."}}