{"id":"W4417424576","doi":"10.3390/environments12120495","title":"Identification and Application of Phocaeicola-Specific Conserved Signature DNA Markers for Human Fecal Source Tracking","year":2025,"lang":"en","type":"article","venue":"Environments","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Gene; Genome; Genetic marker; Marker gene; Fecal coliform; Feces; Human genome; Phylogenetics","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":[0.0003794419,0.00009753314,0.0001126214,0.00003127567,0.0001538957,0.00002217744,0.0001283869,0.00008294662,0.000108487],"category_scores_gemma":[0.00001529911,0.0001007978,0.00004025999,0.00007915912,0.000193859,0.0001129639,0.00007051114,0.0000679294,0.00002092956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125312,"about_ca_system_score_gemma":0.000001727313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002826009,"about_ca_topic_score_gemma":0.00001273895,"domain_scores_codex":[0.9990792,0.00006705617,0.0002664931,0.0003031574,0.0001621902,0.0001218761],"domain_scores_gemma":[0.9995704,0.00006093167,0.0001225318,0.0002048808,0.000002711257,0.00003851769],"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":[0.0000505202,0.000135695,0.04693227,0.00003348801,0.00001571606,1.258774e-7,0.00024983,0.000101951,0.9063812,0.0006528784,0.0008105704,0.04463568],"study_design_scores_gemma":[0.0008419647,0.00003598116,0.8087834,0.00001363792,0.00002202336,2.75332e-7,0.0001164647,0.001478347,0.146016,0.001316219,0.04123551,0.0001402243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.892491,0.00004230718,0.1060879,0.0002212128,0.00004353463,0.0005579314,0.00001095544,0.00001567834,0.0005294508],"genre_scores_gemma":[0.9966035,0.000008615764,0.0002171711,0.0001350895,0.000007701236,0.00007284058,0.00004040829,0.000008015551,0.002906667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7618511,"threshold_uncertainty_score":0.4110416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214766866512682,"score_gpt":0.2529854805241267,"score_spread":0.2408378118589999,"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."}}