{"id":"W4401361173","doi":"10.1016/j.heliyon.2024.e35878","title":"Antibiotic resistance risk assessment in Mymensingh, Bangladesh: Current scenario from human-animal-environmental interfaces viewpoint","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Beirut Arab University; Bausch Health; State Key Laboratory of Agricultural Microbiology; Bangladesh Council of Scientific and Industrial Research","keywords":"Antibiotic resistance; Environmental risk assessment; Current (fluid); Risk analysis (engineering); Resistance (ecology); Risk assessment; Environmental planning; Engineering; Environmental health; Antibiotics; Environmental science; Medicine; Biology; Computer science; Ecology; Microbiology; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002642146,0.0002960265,0.0003813232,0.0001525445,0.0002008781,0.00007578011,0.0002211266,0.0002214785,0.0006947826],"category_scores_gemma":[0.00001453533,0.0002517642,0.0001175651,0.0001491559,0.0002555722,0.0001442485,0.0001369781,0.0009251397,0.001168137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002605471,"about_ca_system_score_gemma":0.000060713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000102625,"about_ca_topic_score_gemma":0.0007853062,"domain_scores_codex":[0.9980323,0.000258094,0.0004996693,0.000679137,0.00008429705,0.0004464904],"domain_scores_gemma":[0.9993739,0.0001114356,0.0001218782,0.0003512775,0.00001035837,0.00003114462],"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":[0.0001909332,0.0006331342,0.0433679,0.0007763384,0.0003150778,0.0001669878,0.001673605,0.000006007783,0.9396826,0.001461515,0.004610669,0.007115206],"study_design_scores_gemma":[0.002635299,0.000520215,0.5105717,0.01689428,0.0003842347,0.00002888661,0.001891961,0.00006853278,0.2823007,0.000929706,0.1823584,0.001416041],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7993438,0.197376,0.0001143954,0.0004057503,0.001239198,0.0002249466,0.00015191,0.0001035702,0.001040357],"genre_scores_gemma":[0.9842497,0.01346725,0.0001705009,0.00006973484,0.00007887295,0.000002704914,0.0001612092,0.00003499507,0.001765068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.657382,"threshold_uncertainty_score":0.9999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196030284742067,"score_gpt":0.2750682889554732,"score_spread":0.2631079861080525,"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."}}