{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004166492,0.0005415293,0.0003725665,0.0005034551,0.0008795551,0.0009741826,0.00100161,0.001220867,0.001084179],"category_scores_gemma":[0.00151744,0.0003119079,0.0005767255,0.0004072694,0.0009725412,0.0003583019,0.0006833617,0.0008766075,0.0006517168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382125,"about_ca_system_score_gemma":0.001999181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01243906,"about_ca_topic_score_gemma":0.02241388,"domain_scores_codex":[0.9964473,0.0006095261,0.0001750798,0.0008457922,0.001591366,0.0003309519],"domain_scores_gemma":[0.9980888,0.0002212262,0.000269686,0.000252865,0.0009599582,0.000207481],"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":[0.0001121968,0.000372374,0.006077213,0.000134262,0.00003051934,0.0001006944,0.0002328882,0.001700513,0.9790528,0.0003307467,0.0006314536,0.01122439],"study_design_scores_gemma":[0.00004253119,0.00305913,0.02602696,0.00004833621,0.00006205763,0.0003032738,0.0002837007,0.006344086,0.9504609,0.0001736898,0.0131479,0.00004745426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8589603,0.0003164339,0.125483,0.0004624602,0.0001274204,0.00335113,0.003038938,0.001275639,0.006984589],"genre_scores_gemma":[0.7871732,0.0003351058,0.1973071,0.0002959407,0.00002149901,0.00228564,0.004594295,0.000215846,0.00777145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01243906,"threshold_uncertainty_score":0.02473336,"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."}}