{"id":"W2800778398","doi":"10.7554/elife.34311","title":"Donated chemical probes for open science","year":2018,"lang":"en","type":"article","venue":"eLife","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Novartis Pharma; Bayer; Ministero dello Sviluppo Economico; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft; Cancer Research UK; Ontario Ministry of Economic Development and Innovation; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Wellcome Trust; Pfizer","keywords":"Chemical biology; Pharmaceutical industry; Function (biology); Drug industry; Control (management); Chemical industry; Pharmaceutical sciences; Open science","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":[0.0002262488,0.00005003989,0.00004523084,0.00001657111,0.0001016613,0.00005338215,0.0004902183,0.00004281192,0.0000231965],"category_scores_gemma":[0.0002724079,0.00004300756,0.00001916012,0.00008763485,0.0002312906,0.000005594785,0.0002789453,0.0000190578,0.00002169806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007319968,"about_ca_system_score_gemma":0.0001294743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005370931,"about_ca_topic_score_gemma":0.000003171959,"domain_scores_codex":[0.9994676,0.000005725712,0.00007823531,0.0002217001,0.00009229367,0.0001344952],"domain_scores_gemma":[0.9995382,0.000002210365,0.00002650429,0.000181627,0.0001947885,0.00005661021],"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":[0.00003209986,0.00001713118,0.0001019204,0.000001745735,0.000002863657,4.090553e-8,0.000009383593,6.210105e-8,0.9765158,0.0004399263,0.02126954,0.001609522],"study_design_scores_gemma":[0.0002347469,0.000105751,0.0001021015,0.000003294964,0.00000112568,0.000001139425,0.000006092394,0.00004160998,0.7978072,0.00004977619,0.2015906,0.0000565478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897307,0.00008846071,0.001764071,0.0005904941,0.000232031,0.0005402845,0.00001024378,0.00001574904,0.007027922],"genre_scores_gemma":[0.9923331,0.000004546345,0.005078529,0.0008665121,0.0004062779,0.00005307415,0.0000352297,0.000006836194,0.00121586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1803211,"threshold_uncertainty_score":0.1753798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181165383791121,"score_gpt":0.3181606005522178,"score_spread":0.3000440621731057,"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."}}