{"id":"W7054342559","doi":"","title":"Application of environmental DNA EDNA methods for assessing biodiversity and biomonitoring endangered species: a case study of Jefferson salamander Ambystoma Jeffersonianum in Southern Ontario, Canada","year":2015,"lang":"en","type":"article","venue":"","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental DNA; Biomonitoring; Endangered species; Biodiversity; Salamander; Habitat","routes":{"ca_aff":false,"ca_fund":false,"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":[0.00058458,0.0003134971,0.0002760905,0.001204605,0.005134055,0.001230279,0.0009434978,0.0005763906,0.000794607],"category_scores_gemma":[0.0007630959,0.0002213892,0.0002062419,0.001523198,0.001328828,0.0002858246,0.0006609415,0.0003851881,0.0001119622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01506754,"about_ca_system_score_gemma":0.01086392,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.952241,"about_ca_topic_score_gemma":0.9941783,"domain_scores_codex":[0.9993393,0.00006015632,0.00001965583,0.00009964707,0.000321515,0.0001597567],"domain_scores_gemma":[0.9992943,0.0001134965,0.00007541442,0.0000264734,0.0004103976,0.00007988705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001916908,0.0001543802,0.8557016,0.000201416,0.0001130483,0.007964526,0.01579027,0.002623855,0.04151899,0.0008979557,0.001273779,0.07356847],"study_design_scores_gemma":[0.00002036798,0.0002631935,0.924277,0.00009091059,0.0001433886,0.002258594,0.04165769,0.003771412,0.009925661,0.0003872193,0.01716475,0.0000397707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923343,0.0002523297,0.001086544,0.0002243584,0.00000491701,0.00008509167,0.0001780957,0.00001215492,0.005822085],"genre_scores_gemma":[0.991083,0.000417644,0.004583604,0.00009144216,0.000002426469,0.00002119528,0.0001084006,0.000006778204,0.003685343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.047759,"threshold_uncertainty_score":0.1093231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03260156114169218,"score_gpt":0.267781198556077,"score_spread":0.2351796374143848,"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."}}