{"id":"W2513839008","doi":"10.1371/journal.pgen.1006275","title":"Reverse Chemical Genetics: Comprehensive Fitness Profiling Reveals the Spectrum of Drug Target Interactions","year":2016,"lang":"en","type":"article","venue":"PLoS Genetics","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Pharmaceutical Research and Manufacturers of America Foundation; National Aeronautics and Space Administration","keywords":"Biology; Computational biology; Drug resistance; Genetics; Dihydrofolate reductase; Drug; Drug discovery; Pharmacogenetics; Drug development; Bioinformatics; Gene; Pharmacology; Genotype","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":[0.0007924519,0.0006052075,0.0006355298,0.0007849786,0.0002184263,0.000572828,0.0004268731,0.0005245023,0.0007525359],"category_scores_gemma":[0.001396567,0.0002653545,0.000464617,0.0005838472,0.0005023793,0.0005651122,0.0006511863,0.0009931698,0.0002283642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003885672,"about_ca_system_score_gemma":0.0004435299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007590808,"about_ca_topic_score_gemma":0.001216729,"domain_scores_codex":[0.9995518,0.0001024142,0.00001723731,0.0001337987,0.0001558936,0.00003878598],"domain_scores_gemma":[0.9993134,0.0003244983,0.0001536819,0.000102299,0.00006945183,0.0000367221],"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":[0.0001204707,0.00007530484,0.01390203,0.0002050508,0.000156167,0.0001262601,0.0001021125,0.01029515,0.9065619,0.005859634,0.0005047547,0.0620911],"study_design_scores_gemma":[0.00005277713,0.001191482,0.07999951,0.00007099163,0.0004303567,0.001557013,0.0002116389,0.2621802,0.6089849,0.02844982,0.01668085,0.0001904624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.561541,0.002013691,0.4281763,0.0005839644,0.00006345893,0.0001172626,0.002332352,0.001307438,0.003864571],"genre_scores_gemma":[0.9110569,0.001680702,0.08390794,0.0003648817,0.00002918693,0.0001279732,0.001230673,0.0002336374,0.001368096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007924519,"threshold_uncertainty_score":0.004190981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131824906181205,"score_gpt":0.2979568282499582,"score_spread":0.2666385791881462,"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."}}