{"id":"W3193846102","doi":"10.1002/edn3.233","title":"Environmental DNA as a detection and quantitative tool for stream‐dwelling salamanders: A comparison with the traditional active search method","year":2021,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université de Sherbrooke; Université Laval","funders":"Ministère des Forêts, de la Faune et des Parcs","keywords":"Salamander; Environmental DNA; Biology; Ecology; Taxon; STREAMS; Caudata; Biodiversity","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002905131,0.0004087437,0.0003313157,0.0000377718,0.001081049,0.00007436574,0.0002267943,0.0001195968,0.001572102],"category_scores_gemma":[0.00001589223,0.0003371164,0.0001402268,0.000115114,0.001198248,0.0004381482,0.0004233537,0.0003275986,0.0003376713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007562654,"about_ca_system_score_gemma":0.000006456873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005196189,"about_ca_topic_score_gemma":0.0000736654,"domain_scores_codex":[0.9972991,0.0002451646,0.0002716065,0.0009116993,0.000763891,0.0005085893],"domain_scores_gemma":[0.9988593,0.0005435423,0.0001427131,0.0003072887,0.000001764947,0.0001453772],"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":[0.001425002,0.002006811,0.2236866,0.00004574175,0.0008599089,0.00009025644,0.01689014,0.004699956,0.7055948,0.000205003,0.0008480494,0.04364777],"study_design_scores_gemma":[0.002126801,0.001196258,0.7102535,0.00002289215,0.0002521562,0.0001304148,0.03277237,0.002482488,0.2453744,0.00028297,0.00437139,0.0007344391],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904685,0.0001994939,0.006692318,0.0005225145,0.00006455946,0.0008871324,0.0003986991,0.00003374669,0.0007330278],"genre_scores_gemma":[0.9824778,0.0001643336,0.0161593,0.0003444538,0.00004510983,0.0001361093,0.0001471479,0.00004117758,0.0004846166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4865669,"threshold_uncertainty_score":0.9999081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03537685282525588,"score_gpt":0.2620535977204875,"score_spread":0.2266767448952316,"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."}}