{"id":"W4361950517","doi":"10.1158/1078-0432.c.6532751","title":"Data from Outcomes in Patients with Poor-Risk Cytogenetics with or without &lt;i&gt;TP53&lt;/i&gt; Mutations Treated with Venetoclax and Azacitidine","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Venetoclax; Azacitidine; Internal medicine; Medicine; Leukemia; Biology; DNA methylation; Genetics; Chronic lymphocytic leukemia","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":[0.001286625,0.0002992852,0.0006340629,0.0004860631,0.0003011493,0.0004720085,0.0003130199,0.0003659523,0.004401281],"category_scores_gemma":[0.002769947,0.0001190916,0.0007680323,0.0008838359,0.0002573568,0.0003666715,0.0003937315,0.0006378994,0.0006481441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005523965,"about_ca_system_score_gemma":0.0005792439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349916,"about_ca_topic_score_gemma":0.002184234,"domain_scores_codex":[0.99918,0.0002843815,0.0001121633,0.0001571542,0.0001685011,0.0000976708],"domain_scores_gemma":[0.9964078,0.0009938477,0.001473954,0.0004353607,0.0002827125,0.0004063168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1704833,0.001404945,0.6994584,0.001555917,0.003101676,0.0008305226,0.0005064412,0.004100181,0.015562,0.0005566714,0.015783,0.08665698],"study_design_scores_gemma":[0.009656749,0.01489963,0.952555,0.0001488737,0.001874764,0.001578227,0.0001621499,0.0007953856,0.004502772,0.0003363815,0.01343764,0.00005230512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9692051,0.001814489,0.0005973852,0.0001720058,0.00003760929,0.0003085254,0.02103667,0.00004169787,0.006786417],"genre_scores_gemma":[0.9688719,0.0003834108,0.0002725583,0.0001767556,0.0000486629,0.0004156659,0.02860554,0.00001919018,0.001206381],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.004401281,"threshold_uncertainty_score":0.01472372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05324219382306455,"score_gpt":0.3166994790476033,"score_spread":0.2634572852245388,"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."}}