{"id":"W3166490348","doi":"10.1002/edn3.220","title":"A statistical model for calibration and computation of detection and quantification limits for low copy number environmental DNA samples","year":2021,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental DNA; Sample (material); Calibration; Statistical model; Statistics; Computer science; Data mining; Biology; Mathematics; Ecology; Biodiversity; Chromatography","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":[0.01376218,0.001612604,0.001686355,0.002387476,0.0007183141,0.002464349,0.003697438,0.002920749,0.002506098],"category_scores_gemma":[0.04024739,0.001066121,0.00197475,0.00155116,0.002667301,0.00229859,0.001696305,0.003733231,0.001288636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002591572,"about_ca_system_score_gemma":0.002218122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008510353,"about_ca_topic_score_gemma":0.003712796,"domain_scores_codex":[0.9937371,0.002730273,0.0002726174,0.001469198,0.001425236,0.0003656643],"domain_scores_gemma":[0.9648983,0.02814231,0.002306064,0.001164763,0.003252132,0.0002364628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006686811,0.00005558241,0.002408137,0.000114915,0.00006833063,0.0001168083,0.0001442077,0.9391004,0.002533969,0.03836097,0.0006697128,0.0163601],"study_design_scores_gemma":[0.000004562507,0.00002374994,0.0003226557,0.00001587498,0.000009781988,0.00002455306,0.000009594983,0.9902645,0.0005301054,0.008402906,0.0003746945,0.00001692174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007961563,0.0001188607,0.9905634,0.0001821035,0.00002270799,0.00005796039,0.0001274387,0.0002747631,0.0006912918],"genre_scores_gemma":[0.6212969,0.0008037651,0.3654357,0.0004858429,0.0001318585,0.001635949,0.001381391,0.0003099501,0.00851866],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01376218,"threshold_uncertainty_score":0.07278222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575239369455978,"score_gpt":0.2415516179943898,"score_spread":0.21579922429983,"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."}}