{"id":"W4391782265","doi":"10.53555/sfs.v10i1s.2158","title":"Microbial Remediation of Diverse Antibiotics","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Antibiotics; Environmental remediation; Microbiology; Environmental science; Biology; Ecology; Contamination","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":[0.0003321705,0.0005537497,0.0006378994,0.001158958,0.0003664428,0.0008926564,0.0004234342,0.0007679826,0.00208172],"category_scores_gemma":[0.0004993941,0.0001866663,0.0008777087,0.0007336404,0.0002966594,0.0009109149,0.0007570217,0.0008568448,0.0007348274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004641281,"about_ca_system_score_gemma":0.0006892856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007485895,"about_ca_topic_score_gemma":0.001370025,"domain_scores_codex":[0.999329,0.0001263952,0.00004841096,0.00009888115,0.0002749545,0.000122456],"domain_scores_gemma":[0.9998448,0.00002507844,0.00003694454,0.00001027155,0.00006820039,0.00001469301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001845341,0.0003592785,0.002187372,0.01196492,0.0001608122,0.0009382986,0.0003373661,0.001527421,0.622258,0.008470867,0.009780308,0.3418308],"study_design_scores_gemma":[0.00002700494,0.001217279,0.006483723,0.001585253,0.0002366348,0.002023342,0.0005957183,0.001784858,0.5838578,0.0026023,0.3995268,0.00005924619],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.166234,0.7390456,0.02815236,0.00544444,0.001968488,0.0003334193,0.001222974,0.0003514485,0.05724717],"genre_scores_gemma":[0.4898055,0.4677092,0.02044189,0.002363771,0.0004731689,0.0001897967,0.0008374311,0.00007288815,0.01810638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00208172,"threshold_uncertainty_score":0.006964028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2200836771083134,"score_gpt":0.325120963707079,"score_spread":0.1050372865987657,"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."}}