{"id":"W2895632034","doi":"10.1139/gen-2018-0021","title":"Considerations for incorporating real-time PCR assays into routine marine biosecurity surveillance programmes: a case study targeting the Mediterranean fanworm (<i>Sabella spallanzanii</i>) and club tunicate (<i>Styela clava</i>)","year":2018,"lang":"en","type":"article","venue":"Genome","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Washington Department of Fish and Wildlife; Oregon State University; Wisconsin Department of Natural Resources; Washington State University; National Institute of Water and Atmospheric Research; California Department of Fish and Wildlife; University of Washington; Western Washington University; University of Chicago","keywords":"Biology; Biosecurity; Environmental DNA; Invasive species; Ecology; Real-time polymerase chain reaction; Fishery; Zoology; Biodiversity; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.1658264,0.002575912,0.001926209,0.001800496,0.0009864485,0.00846558,0.004508752,0.008014033,0.002067638],"category_scores_gemma":[0.1979146,0.001349548,0.001441475,0.001707001,0.005529388,0.005818404,0.00215355,0.003805738,0.00102624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002116554,"about_ca_system_score_gemma":0.006324785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0065808,"about_ca_topic_score_gemma":0.01240993,"domain_scores_codex":[0.8141059,0.1471741,0.009930629,0.004767003,0.02217042,0.001851799],"domain_scores_gemma":[0.6899118,0.2292437,0.02618779,0.01288656,0.03857644,0.003193734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003542692,0.002130449,0.2875682,0.01141556,0.0005735913,0.004296486,0.006398846,0.02011769,0.05333851,0.006304546,0.01286206,0.5914513],"study_design_scores_gemma":[0.001559477,0.05445907,0.3275253,0.0254469,0.002579087,0.02575849,0.03990821,0.1156843,0.1222712,0.02994735,0.252329,0.002531588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3990012,0.04466343,0.3322976,0.1681032,0.003283324,0.01253424,0.0009829946,0.002049411,0.03708456],"genre_scores_gemma":[0.4741627,0.007343975,0.5019838,0.009416496,0.0008164144,0.003412933,0.000193719,0.0001315602,0.002538434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1658264,"threshold_uncertainty_score":0.8769844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111426298226579,"score_gpt":0.2557199438005877,"score_spread":0.2346056808183219,"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."}}