{"id":"W7106283313","doi":"10.15468/ac95eg","title":"DFO Monthly GRDI Survey eDNA metabarcoding (16S) Iqaluit, Nunavut 2019","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Environmental DNA; Sampling (signal processing); Taxon; Sampling design; Fish <Actinopterygii>; Bay; Endangered species","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00122846,0.0006014423,0.0004461052,0.001862171,0.001523656,0.001138227,0.001419452,0.0003264367,0.02611529],"category_scores_gemma":[0.001687243,0.0004891948,0.0002091214,0.002559576,0.0004724195,0.0003868468,0.001135279,0.0005045352,0.006477756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005507472,"about_ca_system_score_gemma":0.0066677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7596804,"about_ca_topic_score_gemma":0.8720589,"domain_scores_codex":[0.9993265,0.00007468415,0.00002450043,0.0002877954,0.0001956765,0.00009084602],"domain_scores_gemma":[0.9987419,0.00008889382,0.0001359078,0.0001037937,0.0007967901,0.000132667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008780138,0.0001514094,0.3412497,0.0007222996,0.0001116304,0.0003505234,0.001327819,0.001896172,0.01393627,0.005290763,0.206605,0.4274805],"study_design_scores_gemma":[0.00008037579,0.0001045215,0.4351053,0.0004668104,0.00005080602,0.0001950216,0.001053745,0.003744842,0.003712954,0.001225658,0.5541958,0.0000642056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2343383,0.008340088,0.0279873,0.002238117,0.001139598,0.001280381,0.3985214,0.004617299,0.3215375],"genre_scores_gemma":[0.3094564,0.00359462,0.09824079,0.001467891,0.0001920755,0.001895866,0.2146117,0.002354135,0.3681866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2403196,"threshold_uncertainty_score":0.4834697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082263055022435,"score_gpt":0.2419969657908799,"score_spread":0.2211743352406556,"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."}}