{"id":"W2090971693","doi":"10.1007/s11274-008-9793-4","title":"Significance and suitability of Aeromonas hydrophila vs. fecal coliforms in assessing microbiological water quality","year":2008,"lang":"en","type":"article","venue":"World Journal of Microbiology and Biotechnology","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Biotechnology Research Institute","funders":"","keywords":"Fecal coliform; Aeromonas hydrophila; Water quality; Tributary; Feces; Aeromonas; Watershed; Biology; Veterinary medicine; Environmental science; Abundance (ecology); Coliform bacteria; Microbiology; Ecology; Fishery; Bacteria; Medicine; Geography; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007000152,0.0006983971,0.0005003618,0.001611185,0.0004931488,0.002280014,0.0005019748,0.002228469,0.0008353736],"category_scores_gemma":[0.009488069,0.0004045814,0.0005754105,0.00138749,0.001250221,0.00162278,0.0007165912,0.0008617024,0.0007783062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002863158,"about_ca_system_score_gemma":0.0004496567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002241964,"about_ca_topic_score_gemma":0.003275326,"domain_scores_codex":[0.9942669,0.003123182,0.000569066,0.0006606499,0.001051348,0.0003289143],"domain_scores_gemma":[0.9890407,0.007089484,0.0009068933,0.0003780928,0.001937575,0.0006471528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002443217,0.0003291931,0.8352952,0.0003047284,0.0002257311,0.000270233,0.00043759,0.0007650697,0.1256193,0.0002564162,0.0001998616,0.03385345],"study_design_scores_gemma":[0.00006330157,0.006044497,0.8118021,0.0001333838,0.0005656004,0.003415467,0.002852733,0.01362146,0.1575974,0.001497194,0.002315423,0.00009147569],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917409,0.001368243,0.00373811,0.0002877968,0.00008086081,0.00003598148,0.000236508,0.00001791615,0.002493695],"genre_scores_gemma":[0.9969465,0.0003080855,0.002055991,0.00007078475,0.0000414261,0.00001189784,0.0001045687,0.000006610445,0.0004539301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007000152,"threshold_uncertainty_score":0.03702074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693569559426566,"score_gpt":0.228804954077297,"score_spread":0.2118692584830314,"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."}}