{"id":"W2055980828","doi":"10.1186/gm206","title":"The pharmacogenetics of imanitib","year":2010,"lang":"en","type":"article","venue":"Genome Medicine","topic":"Chronic Myeloid Leukemia Treatments","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"","keywords":"Pharmacogenetics; Imatinib mesylate; Medicine; Imatinib; Myeloid leukemia; Tyrosine kinase; Tyrosine-kinase inhibitor; Pharmacology; Bioinformatics; Computational biology; Drug; Candidate gene; Pharmacogenomics; Gene; Biology; Genetics; Cancer research; Internal medicine; Genotype; Cancer; Receptor","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":[0.0004687762,0.0002476913,0.0003682307,0.0005717891,0.0001604926,0.0004323417,0.0001778085,0.0005062814,0.00175069],"category_scores_gemma":[0.0009234459,0.000100194,0.0002510113,0.0007722449,0.0003096581,0.0001800752,0.0001917766,0.0003357285,0.0001810334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003326842,"about_ca_system_score_gemma":0.0002338668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008374258,"about_ca_topic_score_gemma":0.0006893562,"domain_scores_codex":[0.9995536,0.0001987535,0.00003656708,0.00008752415,0.00008449165,0.000039027],"domain_scores_gemma":[0.9996816,0.0001339682,0.0001200224,0.0000220861,0.0000188743,0.00002352973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003279044,0.0003466167,0.5041414,0.0003463646,0.001186301,0.006480342,0.0006392998,0.006061908,0.2136004,0.01711241,0.00242496,0.2443808],"study_design_scores_gemma":[0.0002019609,0.001032035,0.906985,0.00009342561,0.001063706,0.0148891,0.0002284434,0.01116661,0.0285659,0.01263628,0.02309427,0.00004335349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978187,0.007199589,0.005610975,0.002079082,0.00003559712,0.00003677739,0.0005830749,0.00003331917,0.006234654],"genre_scores_gemma":[0.994902,0.001812734,0.001923484,0.000305851,0.00005529937,0.00001726501,0.0002327021,0.00001101808,0.0007396335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00175069,"threshold_uncertainty_score":0.005856574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540278393439104,"score_gpt":0.2950242598161089,"score_spread":0.2796214758817178,"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."}}