{"id":"W4205508147","doi":"10.3410/f.1014202.193004","title":"Faculty Opinions recommendation of Integrating structure, bioinformatics, and enzymology to discover function: BioH, a new carboxylesterase from Escherichia coli.","year":2003,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Canadian Institutes of Health Research; Biological and Environmental Research; National Institutes of Health; University of Chicago; U.S. Department of Energy","keywords":"Carboxylesterase; Catalytic triad; Hydrolase; Escherichia coli; Computational biology; Enzyme; Function (biology); Structural genomics; Chemistry; Biochemistry; Protein structure; Hypothetical protein; Active site; Biology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000344439,0.0004710821,0.0006887867,0.0001566031,0.0001800939,0.00008937332,0.0005942685,0.000907109,0.0001149192],"category_scores_gemma":[0.002811695,0.0002944925,0.0002775957,0.0008390234,0.00026079,0.00002970504,0.0004922456,0.0006768414,0.000007619364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003490089,"about_ca_system_score_gemma":0.0004063964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001633307,"about_ca_topic_score_gemma":0.00005187821,"domain_scores_codex":[0.997357,0.0002614468,0.001116303,0.0005462822,0.0004539257,0.0002650391],"domain_scores_gemma":[0.9963639,0.00004629006,0.0009004601,0.0008432681,0.001576767,0.0002692557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002653205,0.00007759033,0.00001157464,0.001206145,0.0002990413,8.75761e-8,0.0001180026,1.558546e-7,0.0001147646,0.00006456752,0.9965991,0.001482418],"study_design_scores_gemma":[0.0005830892,0.0002489867,0.0006194284,0.002549935,0.0002095876,0.00001247312,0.00008365253,0.000004150602,0.0002627565,0.00002100101,0.9951002,0.0003047296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002256494,0.003109141,0.0002521255,0.04561493,0.001157508,0.0008456032,0.9489511,0.00001052175,0.00003652342],"genre_scores_gemma":[0.00002419506,0.0006670561,0.00347128,0.006531961,0.0003035015,0.00004046246,0.9883481,0.00001979717,0.0005936382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03939702,"threshold_uncertainty_score":0.9999507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536004890074416,"score_gpt":0.3053629398353263,"score_spread":0.2900028909345821,"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."}}