{"id":"W4312199489","doi":"10.1002/edn3.384","title":"Development and field validation of <scp>RPA‐CRISPR‐Cas</scp> environmental <scp>DNA</scp> assays for the detection of brown trout (<i>Salmo trutta</i>) and Arctic char (<i>Salvelinus alpinus</i>)","year":2022,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Marine Institute","keywords":"Salmo; Recombinase Polymerase Amplification; Brown trout; Arctic char; Salvelinus; Loop-mediated isothermal amplification; Nucleic acid; DNA; Salmonidae; Biology; Trout; Fishery; Fish <Actinopterygii>; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006806099,0.0005187349,0.000492429,0.0001031931,0.001135723,0.00003331193,0.0004898713,0.0001519794,0.0002770833],"category_scores_gemma":[0.0000964495,0.0005006547,0.0001948295,0.0001504606,0.0009464519,0.0003427056,0.001708459,0.0003614068,0.00005466606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007632857,"about_ca_system_score_gemma":0.000006272318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042467,"about_ca_topic_score_gemma":0.00001751998,"domain_scores_codex":[0.9965653,0.0001721995,0.0007244273,0.0009027683,0.001027123,0.0006081141],"domain_scores_gemma":[0.9978189,0.0009697919,0.0005474811,0.0004796608,0.000002213272,0.0001819627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004893618,0.0006243513,0.3565092,0.00007754532,0.0002524922,0.000008114429,0.007336061,0.0003585634,0.6191038,0.000007802703,0.0007810914,0.0148921],"study_design_scores_gemma":[0.001243787,0.0006053434,0.4682904,0.00001252933,0.0001983684,0.00004641301,0.00955776,0.0001806475,0.5013892,0.00006364389,0.01825649,0.0001553371],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958255,0.001104148,0.0007587451,0.00008894539,0.0002546638,0.001325424,0.0003911747,0.0000335507,0.0002178906],"genre_scores_gemma":[0.9958323,0.0006580256,0.00213947,0.0002737725,0.00004536017,0.0002674584,0.0001043506,0.00005620801,0.0006230464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1177146,"threshold_uncertainty_score":0.9997445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042353519757662,"score_gpt":0.193948600832371,"score_spread":0.1835250656347944,"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."}}