{"id":"W2409858335","doi":"10.2134/jeq2006.0555","title":"Assessment of the 16S‐23S rDNA Intergenic Spacer Region in <i>Enterococcus</i> spp. for Microbial Source Tracking","year":2007,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Centre for Applied Research in Cancer Control","keywords":"Biology; Linear discriminant analysis; 23S ribosomal RNA; Intergenic region; 16S ribosomal RNA; Veterinary medicine; Statistics; Mathematics; Genetics; Bacteria; Medicine; Gene","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":[0.00104309,0.0006900504,0.0005753675,0.001002237,0.0001579028,0.000869333,0.000286605,0.0004492467,0.0002777647],"category_scores_gemma":[0.001433631,0.0002479552,0.0004933174,0.0007051209,0.0002211465,0.0003871835,0.0004335034,0.0003803631,0.0003857816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378901,"about_ca_system_score_gemma":0.0005008577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001398671,"about_ca_topic_score_gemma":0.003195074,"domain_scores_codex":[0.9991912,0.000180803,0.00007430678,0.0002295923,0.0002616654,0.00006236877],"domain_scores_gemma":[0.9989741,0.0003719785,0.0002614219,0.0000583235,0.0002594405,0.00007475849],"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":[0.0001441034,0.00006880944,0.008652287,0.00009267475,0.00002627285,0.00002325826,0.00005235779,0.0002682564,0.9746601,0.00001997757,0.00001558434,0.01597638],"study_design_scores_gemma":[0.00001022866,0.002098838,0.06029931,0.00004338926,0.0001646906,0.0004338904,0.0001705438,0.005944866,0.9288717,0.00005586295,0.001878114,0.00002865919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9501563,0.001424507,0.04634895,0.00005374868,0.00001791936,0.0001673537,0.0008321301,0.0002112147,0.0007878758],"genre_scores_gemma":[0.892109,0.001556304,0.102142,0.00006627611,0.00001745373,0.0001718716,0.002220131,0.00006907786,0.001647983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001398671,"threshold_uncertainty_score":0.005516469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613504285557659,"score_gpt":0.3064596515882737,"score_spread":0.280324608732697,"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."}}