{"id":"W1974754704","doi":"10.1016/j.ijmm.2007.03.019","title":"Differentiation of fecal Escherichia coli from poultry and free-living birds by (GTG)5-PCR genomic fingerprinting","year":2007,"lang":"en","type":"article","venue":"International Journal of Medical Microbiology","topic":"Fecal contamination and water quality","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment; Canadian Institutes of Health Research; Canada Research Chairs; University of Victoria; University of Washington","keywords":"Biology; Feces; Goose; Escherichia coli; Polymerase chain reaction; DNA profiling; Zoology; Veterinary medicine; Microbiology; Genetics; Ecology; DNA; Gene","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":[0.001374074,0.00009018019,0.0001919691,0.00005783255,0.00002855107,0.00001642439,0.0005230136,0.0001653271,0.001633036],"category_scores_gemma":[0.0007087828,0.00007389435,0.00006306188,0.00004428442,0.0002227856,0.00009138905,0.0003380901,0.0002756169,0.00001261927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000122472,"about_ca_system_score_gemma":0.00002059334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005320902,"about_ca_topic_score_gemma":0.00008996222,"domain_scores_codex":[0.9986274,0.0001292392,0.0006108069,0.0001414654,0.0003474526,0.0001436174],"domain_scores_gemma":[0.9988874,0.0004734008,0.000404561,0.00006984631,0.000051441,0.0001133338],"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":[0.00005423979,0.0001086874,0.190599,0.000002941796,0.00006347924,0.00001139036,0.0003387439,0.000002225056,0.7921374,0.0001051453,0.001168229,0.01540846],"study_design_scores_gemma":[0.001363268,0.0001216421,0.9439538,0.0001273914,0.00002349881,0.00009281963,0.0002464099,0.0002890755,0.04865329,0.0005824539,0.004387672,0.0001587077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819794,0.0001195416,0.01534069,0.001707885,0.0006427697,0.00003336318,0.00002567207,0.000005543815,0.0001451535],"genre_scores_gemma":[0.9981997,0.00004559888,0.0009039583,0.0006353665,0.0001564161,3.071736e-7,0.0000129572,0.000006145434,0.00003957271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7533547,"threshold_uncertainty_score":0.9992796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008211209403492428,"score_gpt":0.2520060905252615,"score_spread":0.243794881121769,"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."}}