{"id":"W2795970199","doi":"10.1002/pro.3406","title":"ProtaBank: A repository for protein design and engineering data","year":2018,"lang":"en","type":"article","venue":"Protein Science","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of General Medical Sciences; National Institutes of Health","keywords":"Computer science; Suite; Relational database; Data mining; Visualization; Data type; Data visualization; Database; Information retrieval; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0007207108,0.0001205229,0.00008417824,0.00004364501,0.0002572508,0.00009139821,0.0006508245,0.00006883354,0.000001005903],"category_scores_gemma":[0.0004673731,0.000106469,0.00001464326,0.000155608,0.0004449517,0.00002503291,0.000451677,0.0000529286,0.000001090238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001082164,"about_ca_system_score_gemma":0.0002127785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007364225,"about_ca_topic_score_gemma":0.000001821288,"domain_scores_codex":[0.9987682,0.00001761091,0.0001342324,0.0006183757,0.0001630799,0.000298516],"domain_scores_gemma":[0.9989775,0.000004744032,0.00005985985,0.0007193654,0.0001471457,0.0000914125],"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":[0.0000468845,0.000006712211,0.00002249198,0.00002568662,0.000004263719,6.500674e-7,0.00001862822,0.000006335501,0.9968557,0.0004223719,0.0000299746,0.002560243],"study_design_scores_gemma":[0.0002146711,0.0004004032,0.000122228,0.00003231288,0.000004267623,0.00002414467,0.000005202141,0.01309651,0.9796627,0.0004228478,0.005839976,0.000174759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4645798,0.0003327642,0.5315388,0.00008504507,0.00009360509,0.003145982,0.00001346866,0.00003133156,0.000179136],"genre_scores_gemma":[0.7692384,0.000001556243,0.2298388,0.00003112232,0.0002546405,0.0003735842,0.000007671087,0.00001262419,0.0002416553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3046585,"threshold_uncertainty_score":0.4341681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713230434062571,"score_gpt":0.2605485118772515,"score_spread":0.2434162075366258,"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."}}