{"id":"W4367310610","doi":"10.3390/microorganisms11051161","title":"Exploring the Bacterial Community in Aged Fecal Sources from Dairy Cows: Impacts on Fecal Source Tracking","year":2023,"lang":"en","type":"article","venue":"Microorganisms","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Serono Symposia International Foundation; McGill University","keywords":"Source tracking; Metagenomics; Fecal coliform; Feces; Microbiome; Biology; Ecosystem health; Ecosystem; Indicator bacteria; Ecology; Water quality; Environmental science; Ecosystem services","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":[],"consensus_categories":[],"category_scores_codex":[0.0005721867,0.0002199849,0.0002129111,0.00006840356,0.0004557105,0.00009795809,0.0004148221,0.0001560881,0.00004547513],"category_scores_gemma":[0.00009954032,0.0001789423,0.00008613621,0.0002024229,0.0001002745,0.000009380816,0.0002673538,0.0005451905,0.0001213734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004813102,"about_ca_system_score_gemma":0.00007702978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001145,"about_ca_topic_score_gemma":0.001791087,"domain_scores_codex":[0.998415,0.000437378,0.0002680095,0.0002949883,0.0001031907,0.0004814422],"domain_scores_gemma":[0.9991927,0.000106431,0.00007594324,0.0005065852,0.000021683,0.00009670121],"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":[0.0001261575,0.00007519973,0.003059249,0.0000163462,0.0000224847,0.000006940957,0.003618574,0.00003189916,0.9903663,0.000002563927,0.001420473,0.001253832],"study_design_scores_gemma":[0.0009007629,0.000201027,0.2436485,0.00006055965,0.0000105075,0.000008584192,0.002438067,0.000003890362,0.7432008,0.00002348513,0.009284808,0.0002190235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986629,0.00007505314,0.00004494605,0.0004173291,0.000412323,0.0002060064,0.00007560407,0.00005883165,0.00004699594],"genre_scores_gemma":[0.9979583,0.0001070852,0.00004953531,0.0005989686,0.0004911107,0.00001416741,0.0006057424,0.00005251237,0.0001226018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2471655,"threshold_uncertainty_score":0.7297056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06346551862358436,"score_gpt":0.2723085362492739,"score_spread":0.2088430176256895,"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."}}