{"id":"W4405657283","doi":"10.53555/sfs.v10i3.3238","title":"Clinical application Protease from Acinetobacteria Species.","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Protease; Computational biology; Biology; Biochemistry; Enzyme","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000432515,0.000542302,0.0002662552,0.0004915745,0.0002013796,0.0005553465,0.0002272038,0.0004937878,0.00226012],"category_scores_gemma":[0.0009247961,0.000129896,0.000196999,0.0005938518,0.0001425699,0.0002107434,0.0003103752,0.0005468482,0.00111617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002195417,"about_ca_system_score_gemma":0.0003892571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009541479,"about_ca_topic_score_gemma":0.0008646367,"domain_scores_codex":[0.9995894,0.00008399254,0.00007284521,0.00005502291,0.0001465388,0.0000522456],"domain_scores_gemma":[0.9997142,0.00004780988,0.0000540575,0.00002562414,0.0001149742,0.00004322188],"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":[0.001181343,0.0002358172,0.01392578,0.001056654,0.00003209113,0.002980752,0.0002348378,0.0001424985,0.9012243,0.0001536841,0.001894859,0.0769373],"study_design_scores_gemma":[0.0002055182,0.003400126,0.1119162,0.0003625822,0.0002416106,0.03478689,0.001255453,0.001019288,0.7547641,0.0003200458,0.09169675,0.00003152722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.926925,0.03983146,0.009456706,0.003251047,0.0005082215,0.001153677,0.00635151,0.0002659482,0.01225655],"genre_scores_gemma":[0.9666497,0.01114048,0.01052672,0.0005379514,0.0001362734,0.0001397818,0.005912471,0.00003183876,0.004924722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00226012,"threshold_uncertainty_score":0.007560849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1552483774642844,"score_gpt":0.3238528623880191,"score_spread":0.1686044849237347,"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."}}