{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002003775,0.0000563434,0.0001141294,0.00006092319,0.00004706918,0.00004525313,0.0001954638,0.00005952463,0.00003846497],"category_scores_gemma":[0.0005795719,0.00004608049,0.00003852282,0.0003656129,0.0001727112,0.00002203964,0.0000414164,0.00007533985,0.000007986737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006914426,"about_ca_system_score_gemma":0.00009067437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000045051,"about_ca_topic_score_gemma":0.0001533006,"domain_scores_codex":[0.9990222,0.0001901265,0.0003811041,0.000159669,0.0001500184,0.00009690345],"domain_scores_gemma":[0.9994588,0.0000319874,0.0002461254,0.0001029022,0.0001186055,0.00004156061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006068546,0.00002497504,0.8481248,0.000001796613,0.00000480947,9.238394e-7,0.00002615204,0.00001480335,0.1466022,0.000002530969,0.003407255,0.001729109],"study_design_scores_gemma":[0.0001663216,0.0001466565,0.958318,0.000006657254,0.000001630874,0.000002911827,0.00006979157,0.00001570479,0.01394868,0.00005297253,0.02721525,0.0000554591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981866,0.0000373049,0.000326532,0.0006775231,0.0005570644,0.00006500414,0.00001690733,0.000004690562,0.0001283649],"genre_scores_gemma":[0.9983639,0.0003698323,0.0003137328,0.0001012961,0.0004763342,0.000003182937,0.00008425202,0.000004183107,0.0002833193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1326535,"threshold_uncertainty_score":0.1879108,"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."}}