{"id":"W4388160994","doi":"10.5539/sar.v13n1p1","title":"Large Scale Nationwide Screening of Bioavailable Tetracyclines and Arsenic Using Whole-cell Bioreporter from Pangasius and Tilapia Aquaculture System in Bangladesh","year":2023,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Patuakhali Science and Technology University; Bangabandhu Sheikh Mujibur Rahman Agricultural University","keywords":"Arsenic; Detection limit; Pangasius; Bioavailability; Tilapia; Environmental chemistry; Chemistry; Aquaculture; Tetracycline; Arsenic contamination of groundwater; Veterinary medicine; Food science; Biology; Fish <Actinopterygii>; Chromatography; Catfish; Fishery","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":[0.0002541855,0.0004913143,0.0004694274,0.0004381796,0.0003991343,0.0005188138,0.0002363897,0.0003862808,0.0006492745],"category_scores_gemma":[0.0002224704,0.0001866223,0.0002809453,0.0004650668,0.0002123914,0.0003452226,0.000503201,0.0002860345,0.0002990499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003558755,"about_ca_system_score_gemma":0.0005554722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009199551,"about_ca_topic_score_gemma":0.01922249,"domain_scores_codex":[0.9997427,0.00002159826,0.00003427633,0.0000742825,0.00009748564,0.0000296534],"domain_scores_gemma":[0.9998581,0.00001745851,0.00003233167,0.000008852452,0.00006018043,0.00002307945],"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":[0.00009310533,0.00004336602,0.01391644,0.0001367943,0.00001180403,0.000259361,0.0002726091,0.00008371082,0.9809812,0.00001420929,0.00004647138,0.004140932],"study_design_scores_gemma":[0.00006547963,0.003679841,0.3698438,0.00007980327,0.0002146075,0.002600905,0.007280366,0.001610496,0.6049614,0.0001340213,0.00944442,0.00008492916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974102,0.0002547833,0.0007128954,0.0000886445,0.000007352389,0.00006879284,0.0006779348,0.00002049108,0.0007589181],"genre_scores_gemma":[0.9878614,0.001017227,0.004734978,0.0001092385,0.000006726789,0.0001103974,0.002258111,0.00001377194,0.003888119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009199551,"threshold_uncertainty_score":0.01829201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206871597098503,"score_gpt":0.3024419973422026,"score_spread":0.2803732813712176,"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."}}