{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003162947,0.0001637155,0.0003109715,0.00005214554,0.00007772024,0.00001658922,0.0003435578,0.00009115571,0.0003420634],"category_scores_gemma":[0.00005950002,0.0001197641,0.000333383,0.0001108229,0.000256232,0.0002692352,0.0001908231,0.000303775,0.000007200601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007408497,"about_ca_system_score_gemma":0.00001163004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008021954,"about_ca_topic_score_gemma":0.0002943439,"domain_scores_codex":[0.9975586,0.0003185436,0.001126826,0.0002106831,0.0005073309,0.0002780022],"domain_scores_gemma":[0.9985839,0.0001692711,0.0008990255,0.000242107,0.000007398869,0.00009832661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001830032,0.0006124144,0.6844205,0.00002792231,0.00002283373,0.000004370337,0.000900052,0.000217627,0.3055743,0.00004245908,0.0004728068,0.007521691],"study_design_scores_gemma":[0.001313708,0.0001466445,0.9483704,0.00004757689,0.00002075697,0.00002265079,0.0006352433,0.00005419448,0.04133637,0.0001383003,0.007776756,0.0001374225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835494,0.00002394096,0.01499536,0.0004414309,0.0002981942,0.0003048047,0.00001288248,0.00000354332,0.0003704244],"genre_scores_gemma":[0.9982899,0.0000131241,0.0007108289,0.0004516893,0.00006378595,0.000002294991,0.000002318883,0.00001392099,0.0004521194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2642379,"threshold_uncertainty_score":0.4883837,"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."}}