{"id":"W4283379313","doi":"10.1097/01.hs9.0000850132.55221.5c","title":"PB1820: CD47-BLOCKER TTI-622 COMBINED WITH AZACITIDINE IN PATIENTS WITH TP53-MUTATED ACUTE MYELOID LEUKEMIA (AML) AND WITH AZACITIDINE + VENETOCLAX IN ELDERLY OR UNFIT PATIENTS WITH TP53-WILDTYPE AML","year":2022,"lang":"en","type":"article","venue":"HemaSphere","topic":"Phagocytosis and Immune Regulation","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trillium Therapeutics (Canada)","funders":"","keywords":"Venetoclax; Azacitidine; CD47; Medicine; Myeloid leukemia; Myeloid; Hypomethylating agent; Leukemia; Cancer research; Oncology; Minimal residual disease; Internal medicine; Immunology; Chronic lymphocytic leukemia; Biology; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001776919,0.0006475296,0.000890098,0.0002368387,0.0003815823,0.00004578389,0.0002933783,0.0002366604,0.0008859764],"category_scores_gemma":[0.0000149979,0.0004372386,0.00004496928,0.001085905,0.0003273418,0.0004060683,0.0001847491,0.0007662011,0.00002393575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007295364,"about_ca_system_score_gemma":0.0005078133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005361985,"about_ca_topic_score_gemma":0.00166676,"domain_scores_codex":[0.9970902,0.0002928961,0.0006104392,0.0008730319,0.0002868355,0.0008466305],"domain_scores_gemma":[0.9986221,0.00008902392,0.0004132356,0.0005527612,0.000237776,0.00008506718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05168372,0.001292971,0.9330027,0.0001285871,0.0009991759,0.0001546683,0.001489756,0.001468867,0.004418764,0.0001205846,0.0009194731,0.0043207],"study_design_scores_gemma":[0.05558571,0.02291171,0.9077139,0.0006129762,0.0003075344,0.000125779,0.0007600185,0.0001061692,0.007241178,0.00003735312,0.003314024,0.00128362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972515,0.0004096979,0.00002924182,0.00009084072,0.0001054426,0.00162111,0.0001567995,0.0000967523,0.0002385962],"genre_scores_gemma":[0.9956418,0.00002539563,0.0002729566,0.0001520328,0.00001125132,0.000282284,0.002003189,0.0001158939,0.001495146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0252888,"threshold_uncertainty_score":0.999808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005121433250560848,"score_gpt":0.1900629290884207,"score_spread":0.1849414958378598,"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."}}