{"id":"W3004894873","doi":"10.1002/edn3.73","title":"Groundtruthing of pelagic forage fish detected by hydroacoustics in a whale feeding area using environmental DNA","year":2020,"lang":"en","type":"article","venue":"Environmental DNA","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada; Université Laval","funders":"Fisheries and Oceans Canada; Parks Canada; Université Laval; World Wildlife Fund","keywords":"Capelin; Pelagic zone; Forage fish; Fishery; Clupea; Biology; Population; Smelt; Environmental DNA; Coregonus; Ecology; Herring; Biodiversity; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002135608,0.0005907839,0.0005666632,0.00007968638,0.0003357177,0.00004177804,0.0006413407,0.0002323795,0.003212392],"category_scores_gemma":[0.00003730985,0.000680859,0.0002018594,0.0002714434,0.0009833687,0.0007103033,0.001490831,0.0004646146,0.0003303167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001462938,"about_ca_system_score_gemma":0.000003348914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000152244,"about_ca_topic_score_gemma":0.00001847524,"domain_scores_codex":[0.9963608,0.0001189584,0.0007142962,0.001021563,0.0009812628,0.0008031424],"domain_scores_gemma":[0.9988256,0.0001011344,0.0003491999,0.000382897,6.379105e-7,0.0003406057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005471295,0.0003307438,0.3632538,0.00002077972,0.00003985866,0.00004902009,0.00194763,0.001742525,0.631416,5.955477e-7,0.0005211749,0.0006231653],"study_design_scores_gemma":[0.004245765,0.0008450031,0.7315601,0.0001153453,0.0002978884,0.00006731875,0.01245073,0.02618661,0.2186671,0.00007669898,0.003174801,0.002312669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970934,0.0002134831,0.0003397291,0.0001595695,0.0001156057,0.0005941758,0.0006088258,0.000060814,0.0008143508],"genre_scores_gemma":[0.9963151,0.0002531697,0.002474203,0.0005614514,0.00004217829,0.00001463718,0.0001399592,0.00007004914,0.0001292337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4127488,"threshold_uncertainty_score":0.9995642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670915200184356,"score_gpt":0.1856449888036504,"score_spread":0.1689358368018068,"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."}}