{"id":"W4384935679","doi":"10.20944/preprints202307.1388.v1","title":"Vernal Pool Amphibian Inventories in Temperate Forests of Eastern North America: Can Environmental DNA Replace Traditional Methods?","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"Nature Conservancy of Canada; Sustainable Forestry Initiative; Génome Québec; Natural Sciences and Engineering Research Council of Canada; Ministère des Forêts, de la Faune et des Parcs","keywords":"Amphibian; Environmental DNA; Ecology; Habitat; Temperate climate; Temperate rainforest; Biodiversity; Biology; Geography; Ecosystem","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00187284,0.0003280034,0.00035073,0.001528921,0.0004271106,0.0006776743,0.0005765386,0.0002264348,0.001348981],"category_scores_gemma":[0.002067448,0.0001730085,0.0001840322,0.001262635,0.0005111695,0.001394544,0.0007731977,0.0002234747,0.0002492415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003586877,"about_ca_system_score_gemma":0.0004572549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01478153,"about_ca_topic_score_gemma":0.08258495,"domain_scores_codex":[0.9992877,0.0002326712,0.00005637608,0.0002223275,0.0001270959,0.00007387887],"domain_scores_gemma":[0.9980812,0.0002983154,0.0007351444,0.0002654213,0.000415498,0.0002044103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001106115,0.00002603057,0.9371058,0.0001043331,0.00005159655,0.00009589753,0.001675595,0.000112284,0.01134411,0.00008400048,0.0002117378,0.04907818],"study_design_scores_gemma":[0.000001160469,0.00003947401,0.9972751,0.00002571331,0.00001307449,0.00004920492,0.0006648163,0.0001114964,0.000403409,0.00005940269,0.001351946,0.000005243942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933879,0.002412301,0.001951806,0.0001478192,0.00001393452,0.0000363576,0.0007287898,0.00001771992,0.001303318],"genre_scores_gemma":[0.9855665,0.001779198,0.009452219,0.0001277001,0.00002800572,0.00007794821,0.001880367,0.00001198443,0.00107609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478153,"threshold_uncertainty_score":0.02939099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136933703859895,"score_gpt":0.3105673071584541,"score_spread":0.1736336032985591,"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."}}