{"id":"W3107492607","doi":"10.1002/edn3.164","title":"The need for robust qPCR‐based eDNA detection assays in environmental monitoring and species inventories","year":2020,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Innovate BC","keywords":"Environmental DNA; Workflow; Biology; Biodiversity; Environmental monitoring; Environmental resource management; Transparency (behavior); Limiting; Risk analysis (engineering); Ecology; Computer science; Engineering; Business; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002402843,0.0003753782,0.0002550483,0.00003289511,0.0008490011,0.00007887684,0.0003423133,0.0001192757,0.0002849347],"category_scores_gemma":[0.00004485464,0.000339432,0.0001153831,0.0001153476,0.001079828,0.0003459927,0.0006203927,0.0002505265,0.0002357062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007981654,"about_ca_system_score_gemma":0.000001924186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000346447,"about_ca_topic_score_gemma":0.00002624302,"domain_scores_codex":[0.9978049,0.00008850768,0.0003499776,0.000679761,0.0005202582,0.0005565754],"domain_scores_gemma":[0.9991881,0.0002056652,0.0001360903,0.0002556954,4.701038e-7,0.0002139732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001389723,0.000110501,0.8274787,0.00001089005,0.0000251285,0.000007182408,0.0008587382,0.001199236,0.1656948,0.000004054497,0.0003515078,0.004120334],"study_design_scores_gemma":[0.001393905,0.0003222507,0.9015945,0.00001113154,0.00004093835,0.000003148996,0.004693042,0.002221504,0.06828731,0.00005200997,0.02090197,0.0004783565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963399,0.0004051531,0.0004033027,0.001100555,0.0002624848,0.0008409849,0.0001153135,0.00005300968,0.0004792983],"genre_scores_gemma":[0.9968709,0.0004773359,0.001743495,0.0002689155,0.000137586,0.0001085085,0.00002681987,0.00003832245,0.0003280532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09740748,"threshold_uncertainty_score":0.9999058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277426875810653,"score_gpt":0.1875528840193473,"score_spread":0.1647786152612408,"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."}}