{"id":"W4416701787","doi":"10.1016/j.rsma.2025.104675","title":"Comparison of environmental DNA metabarcoding and morphological classification for assessing benthic diversity in the salt marsh of Dingzi Bay, China","year":2025,"lang":"en","type":"article","venue":"Regional Studies in Marine Science","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministry of Natural Resources","keywords":"Environmental DNA; Biodiversity; Salt marsh; Benthos; Marine ecosystem; Genetic diversity; Ecosystem; Benthic zone; Ecosystem diversity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001195431,0.0001206344,0.0002738551,0.0001037758,0.000552848,0.00001093916,0.0004960385,0.00003341154,0.00001575667],"category_scores_gemma":[0.0001803505,0.0000925331,0.0000442108,0.0004560626,0.004578471,0.0002346,0.00357634,0.0001227364,9.180054e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438898,"about_ca_system_score_gemma":0.000004369798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008247458,"about_ca_topic_score_gemma":0.00005049099,"domain_scores_codex":[0.9985544,0.00007271563,0.0002817285,0.0003840341,0.0004900647,0.00021703],"domain_scores_gemma":[0.9992951,0.0003653623,0.0001594724,0.0001549299,0.000005042395,0.00002014092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001880158,0.0001892703,0.9820923,0.0000268513,0.00001046212,0.000001195916,0.001630025,0.00008573737,0.01294404,0.0006159897,0.00006836827,0.002316997],"study_design_scores_gemma":[0.0002848283,0.00004710363,0.9889275,0.00003321494,0.00002031944,0.000001611689,0.007675718,0.0003888998,0.0009054751,0.001587644,0.00004682338,0.00008083518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977877,0.0002117359,0.0000558135,0.0005946661,0.00005768113,0.0003021011,0.000006959354,0.00000364096,0.0009797664],"genre_scores_gemma":[0.9948921,0.000446484,0.004553484,0.00006579215,0.000003844293,0.00001173549,0.000002199293,0.000001621531,0.00002277334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01203857,"threshold_uncertainty_score":0.9981305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145406579198807,"score_gpt":0.3505056247459683,"score_spread":0.2359649668260876,"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."}}