{"id":"W1999419097","doi":"10.1128/aem.00254-14","title":"Long-Term Monitoring of Waterborne Pathogens and Microbial Source Tracking Markers in Paired Agricultural Watersheds under Controlled and Conventional Tile Drainage Management","year":2014,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Environment and Climate Change Canada; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Health Canada","keywords":"Arcobacter; Biology; Ruminant; Tile drainage; Veterinary medicine; Watershed; Ecology; Drainage; Bacteria; Pasture; Medicine; 16S ribosomal RNA; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001770988,0.0001552678,0.0003508347,0.00007123994,0.00005225476,0.0000140635,0.00003532069,0.00009324587,0.00004802483],"category_scores_gemma":[0.000002640636,0.0001154471,0.00004023271,0.00002339948,0.0002546459,0.00002837572,0.0001192673,0.00009466674,0.000003123786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003753208,"about_ca_system_score_gemma":0.000002171801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008758282,"about_ca_topic_score_gemma":0.00000262339,"domain_scores_codex":[0.9991148,0.00005252969,0.0002277047,0.0002886851,0.00004396806,0.0002723518],"domain_scores_gemma":[0.999708,0.00006669927,0.00005227428,0.00007734934,0.000002675916,0.00009298629],"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":[0.0005295843,0.00009736504,0.2034148,0.0001178541,0.00008597411,0.000007955304,0.0001210515,0.000001296964,0.7926708,0.00003077016,0.00001032864,0.002912164],"study_design_scores_gemma":[0.008841658,0.0001773039,0.9561779,0.00006902918,0.00007370759,0.00009161748,0.0006216906,0.000006826501,0.03370715,0.00001944627,0.00008473793,0.0001289143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989621,0.0001971337,0.00003994556,0.0001165994,0.0000351927,0.0004764364,0.00002180461,0.00000819275,0.0001425644],"genre_scores_gemma":[0.9989936,0.0003605186,0.0001716863,0.00006378871,0.00004092845,0.0000393016,0.0001977552,0.00001072977,0.0001217245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7589637,"threshold_uncertainty_score":0.4707798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006727185076074758,"score_gpt":0.1996803480385787,"score_spread":0.192953162962504,"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."}}