{"id":"W4385295225","doi":"10.1182/blood.2023021129","title":"ZDHHC21: a mitochondrial vulnerability in AML","year":2023,"lang":"en","type":"letter","venue":"Blood","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; Vulnerability (computing); Biology; Computer science; Computer security","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":[0.001325605,0.0008528457,0.001121766,0.000829779,0.001969891,0.001971734,0.001352205,0.01678425,0.002473155],"category_scores_gemma":[0.006073186,0.0005303619,0.000675943,0.000633923,0.001432865,0.001505154,0.0008381738,0.01426867,0.002790491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744298,"about_ca_system_score_gemma":0.001045716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009951892,"about_ca_topic_score_gemma":0.002224874,"domain_scores_codex":[0.9991397,0.0001693801,0.0001106785,0.0001620344,0.0002908373,0.0001274238],"domain_scores_gemma":[0.9978805,0.001043412,0.0001724911,0.0001199111,0.0003609063,0.000422834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003080374,0.0001036512,0.002436288,0.00008284556,0.00003776451,0.01721263,0.00008317379,0.0001307442,0.001320318,0.002762164,0.9516535,0.02386898],"study_design_scores_gemma":[0.0007649997,0.0005437327,0.009322342,0.0003129774,0.0001868031,0.04352618,0.0005017005,0.003282669,0.003555522,0.02813464,0.9097095,0.000158984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004151365,0.00395785,0.0005428477,0.915674,0.07149513,0.00003514094,0.0001445236,0.0001445207,0.00385464],"genre_scores_gemma":[0.03926806,0.006252205,0.0007193564,0.6520822,0.2921013,0.0000565291,0.0001511532,0.00008393078,0.009285188],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01678425,"threshold_uncertainty_score":0.01265585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814784214546285,"score_gpt":0.255744588191043,"score_spread":0.2375967460455801,"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."}}