{"id":"W3016571079","doi":"10.1038/s41467-019-13652-x","title":"Discovery of a chemical probe for PRDM9","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Diabetes and associated disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"Office of Science; Ontario Genomics; Ontario Ministry of Research, Innovation and Science; Wellcome Trust; Fundação de Amparo à Pesquisa do Estado de São Paulo; Genome Canada; National Institute of Mental Health; Pfizer; Novartis Pharma; Ontario Genomics Institute; National Medical Research Council; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Argonne National Laboratory; U.S. Department of Energy","keywords":"Computational biology; Computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006619265,0.00005238309,0.00007713041,0.00001285513,0.00002137641,0.000008498025,0.0004112611,0.000184328,0.00000181306],"category_scores_gemma":[0.0001014628,0.00004881433,0.00008158318,0.00005589801,0.00004157364,0.000003294737,0.0001550478,0.0001193377,0.000002210144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004880614,"about_ca_system_score_gemma":0.00003828557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001854368,"about_ca_topic_score_gemma":0.00001006816,"domain_scores_codex":[0.9996599,0.00001553481,0.00009415912,0.0001006281,0.00004219019,0.00008757435],"domain_scores_gemma":[0.9991055,0.00003132062,0.00006186275,0.0007083527,0.00008041949,0.00001259418],"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":[0.00001699364,0.0001458411,0.007623419,0.00001794169,0.00005469296,4.6352e-9,0.0000183934,0.00000128923,0.9792152,0.007807133,0.004585433,0.0005136746],"study_design_scores_gemma":[0.001559248,0.0002393929,0.003946506,0.000047788,0.00005960341,6.991698e-7,0.0001764972,0.0002263517,0.6667727,0.001372515,0.3252748,0.0003239331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984264,0.006331745,0.0002889935,0.001640376,0.0001020502,0.000613779,0.0001440495,0.00001183734,0.00660313],"genre_scores_gemma":[0.9956828,0.0001204449,0.002864971,0.0002138719,0.00001803738,0.00004322955,0.0005351013,0.000009435147,0.0005121513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3206894,"threshold_uncertainty_score":0.1990591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006437558041594805,"score_gpt":0.2663548698102254,"score_spread":0.2599173117686306,"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."}}