{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009113078,0.0008378541,0.001105626,0.001371384,0.001228946,0.004022724,0.001121454,0.001191286,0.008848325],"category_scores_gemma":[0.01240524,0.0007683603,0.0007024465,0.00162079,0.00106636,0.001726585,0.001718288,0.002228328,0.01274795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217795,"about_ca_system_score_gemma":0.003635386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004489199,"about_ca_topic_score_gemma":0.0007107415,"domain_scores_codex":[0.9948633,0.001408332,0.0004058915,0.0005933084,0.002459118,0.0002700553],"domain_scores_gemma":[0.9968175,0.000682784,0.0002814688,0.0006344147,0.001187987,0.0003958078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006259815,0.0002331172,0.00162309,0.002197059,0.0001562258,0.0003966822,0.0003396781,0.00378654,0.1017007,0.06675895,0.3076398,0.5145422],"study_design_scores_gemma":[0.00008734112,0.0002488795,0.0005995558,0.0001529914,0.00003991037,0.0005063806,0.00005580712,0.002382676,0.03424267,0.01178912,0.9498501,0.00004453072],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04159968,0.07988177,0.6777161,0.02274752,0.03409363,0.003566945,0.005838958,0.008694543,0.1258608],"genre_scores_gemma":[0.1455163,0.08208792,0.5395477,0.01001857,0.006555923,0.002989322,0.01180227,0.004491259,0.1969907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009113078,"threshold_uncertainty_score":0.04819512,"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."}}