{"id":"W4401528335","doi":"10.1098/rsos.240724","title":"Assessing patterns of metazoans in the global ocean using environmental DNA","year":2024,"lang":"en","type":"article","venue":"Royal Society Open Science","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Global Collaborative Research, King Abdullah University of Science and Technology","keywords":"Environmental DNA; Evolutionary biology; Environmental science; Ecology; Biology; Astrobiology; Oceanography; Biodiversity; Geography; Geology","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":[0.001520736,0.0001673828,0.0001684006,0.00001378153,0.0005434612,0.0004912841,0.002196359,0.00004492577,0.0005121009],"category_scores_gemma":[0.0000153643,0.000124895,0.0001254429,0.0005949858,0.001620244,0.001234201,0.002748442,0.0001566338,0.00009132022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001116809,"about_ca_system_score_gemma":0.00002020605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00166557,"about_ca_topic_score_gemma":0.00003697675,"domain_scores_codex":[0.9977331,0.00006822861,0.000225337,0.0006018994,0.0009595582,0.0004119242],"domain_scores_gemma":[0.9994788,0.00006472609,0.0000652927,0.0003224483,0.000001562242,0.00006719268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001386661,0.00009082739,0.9900188,0.000009556937,0.0000118465,0.00001009035,0.002656228,0.001181458,0.004422324,0.00005362297,0.0003443673,0.001199438],"study_design_scores_gemma":[0.0001354056,0.00003103608,0.9778534,0.00003786376,0.00003007744,0.000008401912,0.01008731,0.009543209,0.001217137,0.0001287393,0.0007394688,0.0001879492],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951317,0.0001033902,0.0003329996,0.0002193337,0.0001307566,0.0003185965,0.00006091169,0.00001311627,0.00368924],"genre_scores_gemma":[0.9933249,0.00002705319,0.006231244,0.0003117321,0.00001327843,0.000002780762,0.000002728252,0.000005609903,0.00008062998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01216545,"threshold_uncertainty_score":0.5969855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03037148985583492,"score_gpt":0.2954554663745503,"score_spread":0.2650839765187154,"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."}}