{"id":"W2510782206","doi":"10.1016/j.exphem.2016.06.053","title":"Acute myeloid leukemia therapeutic target deconvolution by compound clustering and synergistic fingerprinting","year":2016,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Myeloid leukemia; Computational biology; Identification (biology); Leukemia; Stem cell; Biology; Cancer research; Immunology; Genetics","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":[0.001000029,0.0008367191,0.00120764,0.00213962,0.0004823671,0.001072498,0.0007776212,0.0006587414,0.001546441],"category_scores_gemma":[0.001370115,0.000432142,0.001398821,0.002389296,0.0004082618,0.0009602883,0.0008490802,0.0007527493,0.0007113416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006080298,"about_ca_system_score_gemma":0.001177894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001901498,"about_ca_topic_score_gemma":0.002525285,"domain_scores_codex":[0.9994959,0.0001073974,0.00002590936,0.0001357014,0.0001560749,0.00007910553],"domain_scores_gemma":[0.999556,0.0001190822,0.00008082823,0.0000968206,0.0001160688,0.00003121656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001789734,0.0003998524,0.00830349,0.0004148634,0.0004081146,0.0001938854,0.0001202917,0.1282906,0.312659,0.006362246,0.003701315,0.5373566],"study_design_scores_gemma":[0.00004313929,0.0001979999,0.005863872,0.00001530667,0.000208147,0.0002685989,0.00004723703,0.8546886,0.1269465,0.006739885,0.004913547,0.00006723808],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1287714,0.001488858,0.8629534,0.0002409584,0.00006053491,0.0001595561,0.0008491195,0.002227551,0.003248672],"genre_scores_gemma":[0.5976505,0.0010383,0.3959224,0.00009326432,0.00007337952,0.0002101371,0.001733174,0.0003030901,0.002975711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00213962,"threshold_uncertainty_score":0.00528872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047135521616579,"score_gpt":0.269941240235516,"score_spread":0.2594698850193503,"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."}}