{"id":"W4402024325","doi":"10.1016/j.exphem.2024.104450","title":"3129 – UTILIZING AN IPSC-DERIVED BONE MARROW-LIKE ORGANOID MODEL TO INVESTIGATE DRUG RESISTANCE MECHANISMS IN ACUTE MYELOID LEUKEMIA","year":2024,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Genome British Columbia","funders":"","keywords":"Organoid; Myeloid leukemia; Bone marrow; Drug resistance; Leukemia; Drug; Myeloid; Medicine; Bone marrow transplantation; Cancer research; Biology; Internal medicine; Pharmacology; Neuroscience; Microbiology","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":[0.0004705375,0.0005339427,0.000964418,0.0007017003,0.0001587127,0.00008198478,0.0004384895,0.0003262941,0.0003818846],"category_scores_gemma":[0.00006168332,0.0005260446,0.0001393535,0.0008954924,0.0002925046,0.0003815272,0.00048283,0.0009395832,0.000500537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002264713,"about_ca_system_score_gemma":0.001217412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373709,"about_ca_topic_score_gemma":0.000202078,"domain_scores_codex":[0.9960202,0.0001947606,0.0007568023,0.001294089,0.00059132,0.001142802],"domain_scores_gemma":[0.998122,0.00009591037,0.00007130446,0.0008564472,0.00007476293,0.000779524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008647743,0.0001527665,0.00004104049,0.0002256724,0.0001002276,0.00402519,0.005371042,0.00003587845,0.9183639,0.05935898,0.01135057,0.0001100046],"study_design_scores_gemma":[0.001932086,0.0002308409,0.00002721424,0.0004221156,0.00004282267,0.001193701,0.002818044,0.02465714,0.9642913,0.002781484,0.00109777,0.0005054273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798368,0.007820617,0.001578722,0.004822235,0.0005481328,0.001321006,0.00002822159,0.0005677028,0.003476525],"genre_scores_gemma":[0.9536838,0.00009167618,0.03554903,0.003147292,0.00007444979,0.0003862462,0.0001048492,0.0001857361,0.006776935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05657749,"threshold_uncertainty_score":0.9997191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02732243321895482,"score_gpt":0.3240531566932399,"score_spread":0.2967307234742851,"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."}}