{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002314186,0.0008914558,0.0005334505,0.007721846,0.0005758763,0.001314918,0.0007125635,0.0009835215,0.00442519],"category_scores_gemma":[0.01286168,0.0003171533,0.0007581666,0.00372185,0.0008428165,0.001721836,0.001387906,0.001551567,0.002295778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101177,"about_ca_system_score_gemma":0.0004114221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002830936,"about_ca_topic_score_gemma":0.0034824,"domain_scores_codex":[0.9978169,0.0004165462,0.0001502444,0.0006007831,0.0008409342,0.0001744866],"domain_scores_gemma":[0.9771113,0.006823229,0.006142495,0.002144963,0.006894073,0.0008839366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001478312,0.0003599053,0.4419667,0.001078083,0.0003521137,0.0003324846,0.005098097,0.01533388,0.239334,0.008875946,0.002655073,0.2831353],"study_design_scores_gemma":[0.00003933108,0.001403601,0.7823525,0.0003555754,0.0001448509,0.001421036,0.002286153,0.06549123,0.1193968,0.007126658,0.01972536,0.0002569816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8438919,0.001449799,0.1154863,0.0003657157,0.00007597144,0.000398164,0.006088317,0.003450922,0.02879301],"genre_scores_gemma":[0.9146376,0.0004727103,0.07457268,0.0002241942,0.00003256973,0.0003492979,0.004292164,0.0004071028,0.005011633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007721846,"threshold_uncertainty_score":0.01480377,"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."}}