{"id":"W1975502492","doi":"10.1111/j.1755-0998.2009.02646.x","title":"DNA barcode accumulation curves for understudied taxa and areas","year":2009,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Genomics; Ontario Genomics Institute; Genome Canada","keywords":"Biology; Barcode; DNA barcoding; Taxon; Evolutionary biology; DNA; Computational biology; Genetics; Zoology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008811311,0.0001023638,0.0001642667,0.000008375235,0.0002610476,0.00002153138,0.00008669368,0.0000646707,0.00001924554],"category_scores_gemma":[0.00007957106,0.00004273521,0.00005085263,0.00007487209,0.00005620482,0.0000306478,0.00003443765,0.00004106794,0.000003453093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007330033,"about_ca_system_score_gemma":0.000001428263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001123188,"about_ca_topic_score_gemma":0.0006567903,"domain_scores_codex":[0.9993764,0.00003838913,0.0001047056,0.0002106143,0.00006241634,0.0002075179],"domain_scores_gemma":[0.9997064,0.000158271,0.00005231486,0.00001437932,0.00002651795,0.00004210201],"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":[0.0002411984,0.0001989,0.09232825,0.00004665787,0.0001400948,0.00003671601,0.0003001217,0.00001214025,0.857319,0.001968421,0.008459786,0.03894872],"study_design_scores_gemma":[0.0001829838,0.0005020768,0.9767102,0.0000202571,0.00002884349,0.000006922682,0.000148274,0.00005842121,0.001722718,0.002538811,0.01793602,0.0001444488],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885898,0.002034188,0.00001017776,0.008302614,0.00001369808,0.0002188489,0.00001614748,0.00004418242,0.0007703161],"genre_scores_gemma":[0.9973481,0.000224323,0.00004615506,0.002178737,0.00005887649,0.00001524133,0.00002243219,5.32075e-7,0.0001056126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8843819,"threshold_uncertainty_score":0.2007794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0504495456227594,"score_gpt":0.2475370745374829,"score_spread":0.1970875289147234,"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."}}