{"id":"W7063043472","doi":"","title":"Using whole-exome sequencing data in an exome-wide association study approach to identify genetic risk factors influencing acute lymphoblastic leukemia response : a focus on asparaginase complications &amp; vincristine-induced peripheral neuropathy","year":2018,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health; Fondation Charles-Bruneau; Cancer Research Society; Canadian Institutes of Health Research; Centre de recherche du CHU Sainte-Justine","keywords":"Asparaginase; Pharmacogenetics; Peripheral neuropathy; Vincristine; Single-nucleotide polymorphism","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001638571,0.0005382783,0.0006678528,0.001203634,0.0004084044,0.001139928,0.0003575846,0.0006108374,0.003255939],"category_scores_gemma":[0.002571888,0.0001886355,0.001436982,0.00155169,0.0001767847,0.0003848726,0.0006124842,0.0006735692,0.0003196753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003046592,"about_ca_system_score_gemma":0.000730034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002847712,"about_ca_topic_score_gemma":0.00736095,"domain_scores_codex":[0.9990504,0.0004058029,0.00006594251,0.0002966059,0.0001013342,0.00007986267],"domain_scores_gemma":[0.9990115,0.0005921055,0.0001481559,0.00007459812,0.0001015894,0.00007199302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003888982,0.0005681083,0.6739358,0.001884672,0.01008431,0.002172975,0.000666113,0.006229782,0.1030443,0.001747907,0.004895721,0.1908813],"study_design_scores_gemma":[0.0003272616,0.001062324,0.9394123,0.0003707487,0.005277785,0.002044688,0.0006998032,0.01462267,0.01000518,0.003837073,0.02225915,0.00008101614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436981,0.01282867,0.02778268,0.00226212,0.00020376,0.0002617089,0.009027038,0.0001476214,0.003788274],"genre_scores_gemma":[0.9652959,0.004722258,0.01876529,0.001067774,0.0001079659,0.0003254954,0.006147997,0.00005716494,0.003510178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003255939,"threshold_uncertainty_score":0.01089221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03175591286892849,"score_gpt":0.2590832776881787,"score_spread":0.2273273648192502,"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."}}