{"id":"W4245148369","doi":"10.3410/f.1044073.496360","title":"Faculty Opinions recommendation of The dynamic energy landscape of dihydrofolate reductase catalysis.","year":2006,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dihydrofolate reductase; Energy landscape; Computer science; Energy (signal processing); Computational biology; Chemistry; Biochemistry; Biology; Enzyme; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001165344,0.0004493778,0.0007618273,0.0002500625,0.0001801004,0.00005837095,0.002166322,0.0008470812,0.0001076224],"category_scores_gemma":[0.004046121,0.000254667,0.0008185447,0.00139589,0.0007362434,0.00002365172,0.0009993264,0.0005992466,0.000008372946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004629683,"about_ca_system_score_gemma":0.0006999848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000164665,"about_ca_topic_score_gemma":0.00005601442,"domain_scores_codex":[0.9954277,0.0003996295,0.00174215,0.0005353803,0.001499284,0.000395857],"domain_scores_gemma":[0.9925429,0.00005658661,0.001634397,0.001898585,0.003630094,0.0002374598],"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":[0.00001709799,0.0003203977,0.000007351607,0.003526632,0.0001812213,8.729629e-8,0.00002445954,5.224649e-7,0.0001724629,0.00002449123,0.9936061,0.002119205],"study_design_scores_gemma":[0.0005062912,0.0001718281,0.0006089915,0.002426199,0.0001763267,0.00001683673,0.00002219882,0.0000433325,0.001100416,0.00002034085,0.9946504,0.0002568898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001023115,0.001857029,0.00005628001,0.04819738,0.0006371409,0.000633841,0.94851,0.000007468278,0.0000906414],"genre_scores_gemma":[0.0002648127,0.001280621,0.0002669419,0.001312252,0.0002265659,0.00007994063,0.9947974,0.00002239696,0.00174908],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04688513,"threshold_uncertainty_score":0.9999906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01484733051635561,"score_gpt":0.3236870942039544,"score_spread":0.3088397636875987,"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."}}