{"id":"W7037633619","doi":"","title":"Environmental DNA barcoding as a method of amphibian species detection compared to conventional monitoring techniques in southern Ontario vernal pools","year":2024,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; University of Waterloo","keywords":"DNA barcoding; Environmental DNA; Amphibian; Sampling (signal processing); Biodiversity; Molecular ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009202707,0.0002468661,0.0002402696,0.001041264,0.001145518,0.001160301,0.0004911391,0.0002420576,0.001074448],"category_scores_gemma":[0.002875611,0.0002004706,0.000196897,0.001275619,0.001157045,0.0006463185,0.0007833776,0.0002762469,0.0001538323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005229303,"about_ca_system_score_gemma":0.003535165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5856431,"about_ca_topic_score_gemma":0.9014456,"domain_scores_codex":[0.9985532,0.0001654612,0.00006206676,0.0004051312,0.0006520966,0.0001620774],"domain_scores_gemma":[0.9978707,0.0003373316,0.000633876,0.0001135739,0.0008717816,0.0001727171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004467966,0.00003974735,0.8837279,0.0002689852,0.00009085114,0.0002971749,0.01181772,0.000669138,0.04933044,0.0004905656,0.0003028933,0.0525178],"study_design_scores_gemma":[0.000003819464,0.0001368291,0.9923303,0.0000196892,0.00003477186,0.00005958226,0.00259554,0.000459627,0.002601646,0.00004921327,0.00169618,0.00001287507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946892,0.0002634044,0.00111252,0.00006070724,0.000005079703,0.00005510221,0.0002232425,0.00001054547,0.003580153],"genre_scores_gemma":[0.9927794,0.0003104387,0.003520883,0.00005040718,0.000004660548,0.00005926053,0.0003706131,0.000008588392,0.002895773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4143569,"threshold_uncertainty_score":0.8335943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226708796131303,"score_gpt":0.244941913226444,"score_spread":0.2226748252651309,"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."}}