{"id":"W2054103222","doi":"10.1016/j.stem.2012.12.011","title":"A Pan-BCL2 Inhibitor Renders Bone-Marrow-Resident Human Leukemia Stem Cells Sensitive to Tyrosine Kinase Inhibition","year":2013,"lang":"en","type":"article","venue":"Cell stem cell","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":195,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Canada's Michael Smith Genome Sciences Centre; Ontario Institute for Cancer Research; BC Cancer Agency","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; Ontario Ministry of Research and Innovation; University of California, San Diego; Canadian Institutes of Health Research; Ontario Genomics Institute; China Scholarship Council; Genome Canada; National Institutes of Health; Ontario Genomics; National Cancer Institute; Government of Canada; California Institute for Regenerative Medicine","keywords":"Biology; Stem cell; Tyrosine-kinase inhibitor; Leukemia; Bone marrow; Cancer research; Tyrosine kinase; Immunology; Cell biology; Signal transduction; Cancer; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002787916,0.0007490744,0.000894717,0.000365459,0.0002484052,0.0001347416,0.0001546747,0.000384287,0.0005406858],"category_scores_gemma":[0.000006393363,0.0007079493,0.0003240454,0.0004881859,0.000125239,0.0002744535,0.0002369315,0.0005425306,0.005066534],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005617672,"about_ca_system_score_gemma":0.0005874321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001704669,"about_ca_topic_score_gemma":0.0001078222,"domain_scores_codex":[0.9957275,0.0001939132,0.0009579491,0.001197817,0.0008622476,0.001060571],"domain_scores_gemma":[0.9971569,0.0001460486,0.0003716922,0.001100376,0.0003330682,0.0008919319],"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":[0.000160373,0.0003857533,0.0003550972,0.0005568932,0.00006259366,0.0008477203,0.002361986,0.00007964431,0.9365446,0.0000130968,0.0562053,0.002426925],"study_design_scores_gemma":[0.007059366,0.0009365801,0.001212761,0.0005547785,0.0002785557,0.00005887731,0.002994746,0.0001807829,0.9820793,0.00001333143,0.0039557,0.000675275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824848,0.00048048,0.0001025959,0.0003611584,0.0005137223,0.003043008,0.00005023519,0.0002926738,0.01267136],"genre_scores_gemma":[0.9498389,0.00005710033,0.0003544803,0.0008738614,0.0004742734,0.0002410708,0.0001473149,0.000165603,0.04784735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0522496,"threshold_uncertainty_score":0.9995372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464464361081714,"score_gpt":0.234219884548629,"score_spread":0.2195752409378119,"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."}}