{"id":"W3093745921","doi":"10.1093/protein/gzaa024","title":"Protein Engineering, Design and Selection","year":2020,"lang":"en","type":"article","venue":"Protein Engineering Design and Selection","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reputation; Constructive; Selection (genetic algorithm); Publishing; Foundation (evidence); Library science; Computer science; Engineering; Data science; Operations research; Management; Sociology; Political science; Process (computing); Artificial intelligence; Social science","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":[0.000353662,0.0002083219,0.0001513836,0.00008515024,0.00008510012,0.0000784953,0.00008414687,0.0002096679,0.000007710998],"category_scores_gemma":[0.0003564151,0.0002044168,0.0000324127,0.0002080497,0.00003393909,0.00001369161,0.00005276991,0.0002148005,0.000005507314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002010828,"about_ca_system_score_gemma":0.00005864854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007789725,"about_ca_topic_score_gemma":6.325158e-7,"domain_scores_codex":[0.9988934,0.00005066237,0.0002154295,0.0003143268,0.0001912437,0.0003349131],"domain_scores_gemma":[0.999553,0.00001513135,0.00004161455,0.00005724815,0.00008065252,0.0002524053],"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":[0.00009726889,0.00001815371,0.00002101662,0.0001883655,0.00003704095,8.418378e-7,0.00006512063,0.007857948,0.9871003,0.00003778214,0.0002234272,0.00435276],"study_design_scores_gemma":[0.0003977305,0.001048668,0.0001546354,0.00003005486,0.000009478005,0.00001659708,0.000006829616,0.447459,0.5443831,0.00001520144,0.006259649,0.0002190583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09663114,0.0003956227,0.9016044,0.0002408413,0.00002699032,0.00100672,0.000001225661,0.00008314659,0.000009898502],"genre_scores_gemma":[0.874379,0.0001902252,0.1246076,0.00006923283,0.0003126791,0.0001934511,0.0000113735,0.00004054849,0.0001959618],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7777478,"threshold_uncertainty_score":0.8335874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01466189599409519,"score_gpt":0.2172602292567869,"score_spread":0.2025983332626917,"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."}}