{"id":"W1967957152","doi":"10.1186/1741-7007-5-24","title":"Design and applicability of DNA arrays and DNA barcodes in biodiversity monitoring","year":2007,"lang":"en","type":"article","venue":"BMC Biology","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":184,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ontario Genomics; Ontario Genomics Institute; Genome Canada; Gordon and Betty Moore Foundation","keywords":"Biology; DNA barcoding; Barcode; Computational biology; DNA; Environmental DNA; Mitochondrial DNA; DNA sequencing; Cytochrome b; Evolutionary biology; Biodiversity; Genetics; Gene; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000471786,0.00009295133,0.0001461938,0.00002961604,0.00008195505,0.000002400251,0.00009875462,0.00008396501,0.00004660974],"category_scores_gemma":[0.0000248686,0.00008807189,0.00001510643,0.00006050064,0.00150859,0.00005192978,0.0004220353,0.0000618141,0.00002869453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007816653,"about_ca_system_score_gemma":9.159264e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002000014,"about_ca_topic_score_gemma":0.00004869223,"domain_scores_codex":[0.9992761,0.00006058717,0.0001225641,0.0002877788,0.00005810095,0.0001948553],"domain_scores_gemma":[0.9996058,0.0001894112,0.00004487274,0.0001083567,0.000001441976,0.00005005954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000344597,0.00003324227,0.9095389,0.00000809471,0.000003492688,9.400015e-7,0.0003173273,0.00002034406,0.08910868,0.000005150564,0.00001726306,0.0009120645],"study_design_scores_gemma":[0.0002385676,0.00007483953,0.9550312,0.000002720817,0.000005696635,0.000001411704,0.0005508437,0.00001088242,0.04372101,0.0001729455,0.000104359,0.00008548314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940547,0.0001056532,0.005408473,0.000025027,0.00002989641,0.0001830089,0.000008019731,0.000009956758,0.0001752345],"genre_scores_gemma":[0.9724537,0.0001022011,0.02740909,0.00001847352,0.000005818446,0.000001861382,0.000001045106,0.000001485487,0.000006357179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0454923,"threshold_uncertainty_score":0.5558461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03036928325361999,"score_gpt":0.2363675025082382,"score_spread":0.2059982192546182,"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."}}