{"id":"W4386023953","doi":"10.1097/01.hs9.0000969228.34230.b4","title":"P581: A MARKOV DECISION ANALYSIS OF AZACITIDINE AND VENETOCLAX VERSUS INDUCTION CHEMOTHERAPY FOR THE TREATMENT OF MEDICALLY-FIT PATIENTS WITH ACUTE MYELOID LEUKEMIA","year":2023,"lang":"en","type":"article","venue":"HemaSphere","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Azacitidine; Internal medicine; Adverse effect; Myeloid leukemia; Induction chemotherapy; Regimen; Venetoclax; Oncology; Ven; Leukemia; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002152308,0.0001862972,0.0005728389,0.0002051353,0.00007916628,0.000008143566,0.0001085523,0.0001337542,0.0002362796],"category_scores_gemma":[0.0000974824,0.0001064247,0.0001777047,0.001447566,0.0001976233,0.00004918088,0.00003087897,0.00009960761,0.000003225359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007029965,"about_ca_system_score_gemma":0.0004023534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001581255,"about_ca_topic_score_gemma":0.0001049712,"domain_scores_codex":[0.9984461,0.00002761941,0.0003384906,0.0003150904,0.0006017767,0.000270923],"domain_scores_gemma":[0.9983788,0.0006025135,0.0001588624,0.0004555652,0.0002758085,0.000128459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.04690881,0.0005988052,0.04619271,0.0002989973,0.02181525,0.00004703037,0.002478394,0.0006049428,0.005664324,0.0000745577,0.008551156,0.866765],"study_design_scores_gemma":[0.07992803,0.02056792,0.7784582,0.0004222223,0.01382331,0.00001836396,0.00227859,0.05007096,0.02366498,0.0001116804,0.03008559,0.0005701902],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997238,0.0002755013,0.0005750646,0.0005258939,0.00006666897,0.001092234,0.00007876858,0.00003208316,0.0001157231],"genre_scores_gemma":[0.9906357,0.003555713,0.004070021,0.00005682552,0.0001118079,0.0002211512,0.0002991855,0.00005466967,0.0009949162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8661948,"threshold_uncertainty_score":0.4339874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02560895909934547,"score_gpt":0.3140043933162641,"score_spread":0.2883954342169186,"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."}}