{"id":"W4409190820","doi":"10.1002/edn3.70092","title":"Development, Validation, and Implementation of <scp>eDNA</scp>‐Focused <scp>qPCR</scp> Assays to Detect and Distinguish Between Goldfish (<scp><i>Carassius auratus</i></scp>) and Prussian Carp (<scp><i>Carassius gibelio</i></scp>)","year":2025,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; Government of Alberta; University of Alberta","funders":"Fisheries and Oceans Canada; Alberta Innovates","keywords":"Carassius; Carassius auratus; Carp; Chemistry; Fishery; Biology; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0010846,0.001295757,0.001168958,0.0004043631,0.001538822,0.0003401571,0.000828152,0.0005069187,0.00004586865],"category_scores_gemma":[0.0006744029,0.001415946,0.0001842123,0.0008289049,0.001657849,0.0009347902,0.002972977,0.0006601019,0.0002108273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198165,"about_ca_system_score_gemma":0.00004200927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000497257,"about_ca_topic_score_gemma":0.0003547389,"domain_scores_codex":[0.9926741,0.0003894681,0.001505964,0.002300819,0.00147671,0.001652951],"domain_scores_gemma":[0.9957169,0.001662073,0.0008713896,0.000858816,0.00001634574,0.0008744906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000516873,0.000169726,0.9159355,0.0001385306,0.0004201824,0.00002282022,0.006965246,0.00003446938,0.04286298,0.00001816356,0.0179302,0.01549706],"study_design_scores_gemma":[0.002206335,0.0004153283,0.7930191,0.00008177436,0.0003562106,0.0000177958,0.009609704,0.00001479144,0.1321351,0.0001590986,0.0617932,0.0001916041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886723,0.001118606,0.0003229841,0.0001200053,0.0003295417,0.001968894,0.001438903,0.0001769839,0.005851752],"genre_scores_gemma":[0.9841845,0.0008670197,0.01090747,0.0004999202,0.0001304238,0.0002035468,0.000566694,0.0001249299,0.002515499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1229164,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009184770927752245,"score_gpt":0.2265887694219131,"score_spread":0.2174039984941609,"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."}}