{"id":"W3153365681","doi":"10.1371/journal.pone.0250452","title":"eDNA as a tool for non-invasive monitoring of the fauna of a turbid, well-mixed system, the Elbe estuary in Germany","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"Universität Hamburg","keywords":"Estuary; Taxon; Fauna; Biodiversity; Biology; Ecology; Fishery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001608768,0.0001150851,0.0002258868,0.0000119856,0.0001331723,0.000006849174,0.0003481856,0.00004803011,0.00005628586],"category_scores_gemma":[0.00008588422,0.00008066982,0.00009426232,0.0001774142,0.0002658552,0.00007595494,0.0006465082,0.0001028535,0.00008481496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001902259,"about_ca_system_score_gemma":0.00000868318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002182973,"about_ca_topic_score_gemma":0.00004462762,"domain_scores_codex":[0.9988713,0.00006173902,0.0002279584,0.0002230024,0.0004277865,0.0001881758],"domain_scores_gemma":[0.999236,0.0002229517,0.0001355593,0.0003734318,0.000009600072,0.00002244617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001761977,0.0004691689,0.7877553,0.0001832865,0.0001138078,0.000005211331,0.00127347,0.000081228,0.2099083,0.00001184068,0.0001224082,0.00005831527],"study_design_scores_gemma":[0.0002565227,0.00003914454,0.625111,0.0002346807,0.00008321996,0.000001184359,0.002276114,0.00003647197,0.3718528,0.00002110935,0.00001812726,0.00006952116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974101,0.000143073,0.000002807403,0.0002475033,0.00008817197,0.000584065,0.0000278947,0.00000747489,0.001488878],"genre_scores_gemma":[0.9979947,0.00009870176,0.001301598,0.0000424815,0.00002769578,0.00005375734,0.000001286479,0.000008318843,0.0004714992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1626443,"threshold_uncertainty_score":0.3289619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02023135671440996,"score_gpt":0.1989971510624635,"score_spread":0.1787657943480536,"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."}}