{"id":"W4281634399","doi":"10.3897/mbmg.6.80139","title":"COI amplicon sequence data of environmental DNA collected from the Bronx River Estuary, New York City","year":2022,"lang":"en","type":"article","venue":"Metabarcoding and Metagenomics","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Environmental DNA; Biology; Estuary; Ecology; Fishery; Bivalvia; Biodiversity; Mollusca","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004665598,0.0002180912,0.0003021425,0.00002394747,0.0009050224,0.0000270223,0.001046995,0.00003426824,0.002592552],"category_scores_gemma":[0.00004400807,0.0001901995,0.00007021469,0.0001671994,0.0007708572,0.0001674672,0.004314297,0.0002383691,0.0000449468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002752831,"about_ca_system_score_gemma":0.00001028754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003696331,"about_ca_topic_score_gemma":0.00009933508,"domain_scores_codex":[0.9982091,0.0001839624,0.0002684184,0.0006242772,0.0004342549,0.0002800283],"domain_scores_gemma":[0.9986703,0.000245476,0.0001898229,0.0007842485,8.962593e-7,0.0001092172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000839837,0.0001949391,0.6849462,0.000004586425,0.0003537892,0.00001167072,0.005791617,0.0004996151,0.2865727,0.00003648036,0.013108,0.008396455],"study_design_scores_gemma":[0.0006876327,0.00009238789,0.877767,0.000004466239,0.000399985,0.00001247888,0.002495726,0.0004398205,0.004512715,0.0001707627,0.1130385,0.0003785825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946214,0.001684241,0.0001647394,0.0002099782,0.0001593179,0.0003100422,0.00244669,0.0000220444,0.0003815563],"genre_scores_gemma":[0.9868645,0.000738132,0.01071699,0.0004000986,0.00003597237,0.000008348643,0.000193074,0.00001666013,0.001026238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.28206,"threshold_uncertainty_score":0.9983192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09240441305737225,"score_gpt":0.2346521317659701,"score_spread":0.1422477187085978,"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."}}