{"id":"W2513310700","doi":"10.1016/j.exphem.2016.06.020","title":"Targeted therapy in aml: looking beyond mutations with leucegene project","year":2016,"lang":"en","type":"article","venue":"Experimental Hematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Exploit; Computational biology; Session (web analytics); RNA; Drug discovery; Key (lock); Human genome; Biology; Genome; Computer science; Bioinformatics; Gene; Genetics; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.0001015528,0.0001686178,0.000337035,0.0002734619,0.00005780814,0.000007135717,0.0001080726,0.0001076237,0.0005831685],"category_scores_gemma":[0.00002218737,0.0001007674,0.00004274665,0.0002899251,0.000252977,0.0001038463,0.00005058225,0.0001526135,0.00009497665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003510742,"about_ca_system_score_gemma":0.0003155169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001258517,"about_ca_topic_score_gemma":0.0000277402,"domain_scores_codex":[0.9986979,0.00008152551,0.0002380471,0.0003454463,0.0002136931,0.0004233244],"domain_scores_gemma":[0.99944,0.0001030409,0.0000528555,0.0002684604,0.00004788976,0.00008772362],"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":[0.002360118,0.0008965976,0.0878584,0.00003430755,0.0001698658,0.001454199,0.003618274,7.435339e-7,0.8834556,0.01366656,0.002404382,0.004080913],"study_design_scores_gemma":[0.006807923,0.001003068,0.003063076,0.00007565666,0.000004622908,0.001193264,0.001407552,0.00002882605,0.9853317,0.0000863489,0.0008495281,0.0001483931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908319,0.002971918,0.0001459627,0.001334195,0.00006484511,0.000807098,0.000005198818,0.00008112587,0.003757742],"genre_scores_gemma":[0.9962596,0.00004926966,0.002310684,0.0003307719,0.00004420407,0.0002937738,0.00002355551,0.00004172896,0.0006464666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1018761,"threshold_uncertainty_score":0.6385285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370705408889644,"score_gpt":0.3400748200189138,"score_spread":0.3163677659300174,"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."}}