{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004369417,0.0002602239,0.0002611291,0.0004417855,0.0002939815,0.000781276,0.0002451216,0.0003544872,0.0005676667],"category_scores_gemma":[0.0004030963,0.0001217752,0.0002000501,0.000592562,0.0001836698,0.0003478074,0.0004453833,0.0001795643,0.0001550233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171935,"about_ca_system_score_gemma":0.0003818812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002960345,"about_ca_topic_score_gemma":0.005941131,"domain_scores_codex":[0.9997278,0.00005130485,0.00001715069,0.00008014114,0.00007677761,0.00004684834],"domain_scores_gemma":[0.9997179,0.0000616001,0.0001027472,0.00001453451,0.0000568453,0.00004632593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005733798,0.0001379157,0.5312846,0.0002130249,0.00005965622,0.0002326643,0.0005071973,0.0009078045,0.4297379,0.00005662164,0.0000931278,0.03619612],"study_design_scores_gemma":[0.000007435609,0.0008073838,0.9176052,0.0000352303,0.00009037425,0.0003673358,0.0008144087,0.002722815,0.07599808,0.0001295744,0.001406511,0.00001571913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972895,0.0002997813,0.001781593,0.00002986893,0.000002974129,0.00001171488,0.0002917893,0.000009454567,0.0002832572],"genre_scores_gemma":[0.9898182,0.0005574721,0.008450028,0.00006446313,0.000009266189,0.00002074225,0.0006726219,0.000006679414,0.000400439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002960345,"threshold_uncertainty_score":0.005886257,"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."}}