{"id":"W1980940641","doi":"10.1016/j.watres.2009.01.030","title":"Universal mitochondrial PCR combined with species-specific dot-blot assay as a source-tracking method of human, bovine, chicken, ovine, and porcine in fecal-contaminated surface water","year":2009,"lang":"en","type":"article","venue":"Water Research","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Water Network","keywords":"Dot blot; Biology; Molecular biology; Polymerase chain reaction; Nucleic acid; Digoxigenin; Multiplex; DNA; Southern blot; Oligonucleotide; Mitochondrial DNA; Multiplex polymerase chain reaction; Gene; Biochemistry; Genetics; Gene expression; In situ hybridization","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001386133,0.0002962816,0.0004339172,0.0001949811,0.0004044568,0.00007354533,0.0004541724,0.0001340519,0.001361749],"category_scores_gemma":[0.00002142873,0.0001944961,0.00005558188,0.0003224215,0.0009687081,0.0003183565,0.0008095342,0.000575486,0.0002783975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004114649,"about_ca_system_score_gemma":0.000004333121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002216236,"about_ca_topic_score_gemma":0.0003419799,"domain_scores_codex":[0.9964058,0.0005542294,0.0003332284,0.0007298607,0.001072006,0.0009049106],"domain_scores_gemma":[0.9992668,0.00008033669,0.00004972344,0.0004070729,0.0000320544,0.0001639831],"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":[0.0009732586,0.0003064069,0.1929364,0.00001613279,0.0000303113,0.0001528042,0.003691607,0.0001868722,0.8001047,0.00003385407,0.00102294,0.000544704],"study_design_scores_gemma":[0.003715028,0.002704653,0.5779681,0.00005745369,0.0000191108,0.000022231,0.001570191,0.00008867182,0.4076647,0.0001716028,0.005616092,0.0004020961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935773,0.00003074073,0.00009415449,0.001052782,0.00003791836,0.0006688205,0.00001126351,0.00003285729,0.004494149],"genre_scores_gemma":[0.9879162,0.00005053273,0.002654419,0.00004191515,0.00003079697,0.000004220165,0.00004428489,0.00002327629,0.009234294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3924399,"threshold_uncertainty_score":0.9995511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466149733444643,"score_gpt":0.2849101177138457,"score_spread":0.2502486203793992,"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."}}