{"id":"W2953138725","doi":"10.1101/272211","title":"ProtaBank: A repository for protein design and engineering data","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Relational database; Data type; Information repository; Data mining; Database; Data science; Computer data storage; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007751993,0.003197251,0.003592025,0.008545971,0.001881582,0.01058588,0.01088469,0.002639657,0.04184685],"category_scores_gemma":[0.02710735,0.002411136,0.002725846,0.0138638,0.001478426,0.01121297,0.01057134,0.005828126,0.0738062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002374209,"about_ca_system_score_gemma":0.009052724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002852709,"about_ca_topic_score_gemma":0.003056526,"domain_scores_codex":[0.9917881,0.001008585,0.001772357,0.00139804,0.003504612,0.0005283309],"domain_scores_gemma":[0.9796233,0.003395914,0.002706242,0.008579401,0.003880001,0.001815111],"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":[0.001524116,0.0002214567,0.002711308,0.007913484,0.0004293275,0.0007353075,0.000429581,0.004764958,0.008020576,0.02059298,0.8215753,0.1310816],"study_design_scores_gemma":[0.0004126783,0.000126049,0.001798608,0.001008908,0.0002311985,0.0007462366,0.000143206,0.01136591,0.01309062,0.02971974,0.9410166,0.0003401552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.003987039,0.00556528,0.1714864,0.001645954,0.001091669,0.0006399736,0.4586556,0.3368993,0.0200287],"genre_scores_gemma":[0.01298964,0.003313996,0.1343504,0.0009884969,0.0001994808,0.001047153,0.8083355,0.030981,0.007794382],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04184685,"threshold_uncertainty_score":0.1399916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329269337285999,"score_gpt":0.2179927571813424,"score_spread":0.2047000638084824,"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."}}