{"id":"W7112289061","doi":"","title":"Mitten Impossible: investigating the use of environmental DNA (eDNA) as a detection tool for Chinese Mitten Crab Eriocheir sinensis","year":2025,"lang":"en","type":"article","venue":"UniTERAMO Research Catalog (University of Teramo)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eriocheir; Chinese mitten crab; Brackish water; Crayfish; Salinity; Environmental DNA; Aquatic animal; Salt water","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":[0.001262821,0.0003816865,0.0002372726,0.0007378999,0.0004142407,0.000604686,0.0004469696,0.0006236772,0.00109737],"category_scores_gemma":[0.001318734,0.000152081,0.0003093215,0.0005563566,0.000465014,0.0005463869,0.0006563647,0.0002837491,0.0002112797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006117206,"about_ca_system_score_gemma":0.0009830217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137967,"about_ca_topic_score_gemma":0.02054619,"domain_scores_codex":[0.9992423,0.000132209,0.00004894631,0.0001925553,0.0003083817,0.00007560809],"domain_scores_gemma":[0.9990307,0.0002156312,0.000260583,0.00006535252,0.0003014982,0.0001261485],"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":[0.0004367118,0.0002395298,0.2975591,0.001204068,0.000103025,0.001136602,0.002196334,0.0003811382,0.6168132,0.0003465853,0.0003331443,0.0792506],"study_design_scores_gemma":[0.00002968317,0.006407672,0.747014,0.0001443193,0.0002407218,0.002478616,0.004104967,0.001796173,0.2215068,0.000209482,0.01599098,0.00007648513],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946101,0.0009656983,0.00176,0.0002111477,0.00001659797,0.0001471531,0.0003633316,0.00002675828,0.001899317],"genre_scores_gemma":[0.986105,0.001060466,0.00742588,0.0003487387,0.000008321224,0.0001250876,0.0007839935,0.00001163787,0.004130782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01137967,"threshold_uncertainty_score":0.02262682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03599720180046789,"score_gpt":0.2614173230310746,"score_spread":0.2254201212306067,"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."}}