{"id":"W1968014486","doi":"10.1016/j.beha.2007.11.002","title":"Apoptosis in leukemia: From molecular pathways to targeted therapies","year":2008,"lang":"en","type":"review","venue":"Best Practice & Research Clinical Haematology","topic":"Cell death mechanisms and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"XIAP; Apoptosis; Venetoclax; Inhibitor of apoptosis; Leukemia; Computational biology; Cancer research; Biology; Bioinformatics; Chemistry; Caspase; Immunology; Programmed cell death; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002820326,0.0005540004,0.002218994,0.0004275424,0.0001824936,0.00006905255,0.0009444205,0.002375551,0.00007628379],"category_scores_gemma":[0.008788229,0.0004729211,0.000699755,0.0007132362,0.000401928,0.00001815479,0.0009166712,0.00206016,0.0005786982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001516695,"about_ca_system_score_gemma":0.001878431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004048168,"about_ca_topic_score_gemma":0.0001081991,"domain_scores_codex":[0.9897999,0.005177621,0.001740367,0.001631707,0.0006926256,0.0009577789],"domain_scores_gemma":[0.9946398,0.002504756,0.0005098029,0.001413849,0.0005163164,0.0004154834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000344582,0.001184656,0.00001968242,0.0008703731,0.0006379441,0.001261409,0.00010133,0.000007926839,0.001658714,0.001193106,0.004884436,0.9878358],"study_design_scores_gemma":[0.0005035748,0.001104348,0.000004300541,0.001068086,0.0001465834,0.0003441449,0.000137914,0.000008521153,0.0004455264,0.0003132134,0.9954506,0.0004732233],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006042055,0.9899372,0.0005251332,0.0004502965,0.0005196806,0.001657356,0.00006450744,0.00002251983,0.0007812073],"genre_scores_gemma":[0.0009282447,0.9926485,0.004083442,0.0003089492,0.000472614,0.0004595158,0.0007455472,0.0001265901,0.0002266188],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9905661,"threshold_uncertainty_score":0.9997723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1711013248243783,"score_gpt":0.4830646754638986,"score_spread":0.3119633506395203,"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."}}