{"id":"W4381513329","doi":"10.53555/sfs.v10i2.1145","title":"Isolation Of Bacterial Strains And Production of Enzymes For Biodegradation of Biomedical Cotton Waste","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":true,"ca_institutions":"","funders":"","keywords":"Biodegradation; Enzyme; Amylase; Chemistry; Strain (injury); Agar; Bacteria; Enzyme assay; Agar plate; Chromatography; Food science; Microbiology; Biochemistry; Biology; Organic chemistry","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":[0.00145811,0.00004304867,0.0001254926,0.0001427487,0.0000241107,0.000007636776,0.00006627525,0.00004885023,0.000004932012],"category_scores_gemma":[0.000664943,0.00003571541,0.00002540724,0.0003167563,0.0002889301,0.0000325024,0.00001566911,0.0000235055,2.201169e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003568017,"about_ca_system_score_gemma":0.00007977249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001489493,"about_ca_topic_score_gemma":0.00005583127,"domain_scores_codex":[0.9992409,0.00008135864,0.0003811178,0.00009436669,0.0001431955,0.00005907416],"domain_scores_gemma":[0.9992368,0.0000240011,0.0004390463,0.00004643917,0.0002374397,0.00001626006],"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":[0.0001297681,0.00003353508,0.06314021,0.00004293722,0.00000773074,3.247076e-8,0.0001892575,0.00003060154,0.9348072,0.00001286252,0.0004143855,0.001191483],"study_design_scores_gemma":[0.0002602606,0.0007390706,0.2232485,0.00003143937,0.000005084307,0.000003770939,0.0005254183,0.00006402935,0.7747588,0.00005249741,0.000271392,0.00003980773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984013,0.00005132841,0.0005546909,0.0003500056,0.0005401422,0.00006861987,0.00002792627,0.00000105492,0.000004899971],"genre_scores_gemma":[0.9987026,0.0002814319,0.000775089,0.000002195002,0.0001147865,0.000001012593,0.00008945858,0.000002499456,0.00003096835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1601083,"threshold_uncertainty_score":0.1456432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09616535686043391,"score_gpt":0.2876333912757972,"score_spread":0.1914680344153633,"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."}}