{"id":"W6927708411","doi":"10.3389/fevo.2024.1305898.s001","title":"DataSheet_1_The geographic and phylogenetic structure of public DNA barcode databases: an assessment using Chrysomelidae (leaf beetles).zip","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Barcode; Phylogenetic tree; DNA barcoding; Clade; Supertree; Sampling (signal processing); Phylogenetics; Phylogenetic diversity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005328542,0.0006415918,0.0006737762,0.009984192,0.0006342478,0.001837683,0.001895138,0.001054585,0.08824151],"category_scores_gemma":[0.03154788,0.0008445671,0.0005280853,0.01370443,0.0006935734,0.003115276,0.002239764,0.001445438,0.06632971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431556,"about_ca_system_score_gemma":0.002434376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007557338,"about_ca_topic_score_gemma":0.008785876,"domain_scores_codex":[0.9965935,0.0005206908,0.0009017998,0.0004830233,0.00132067,0.00018029],"domain_scores_gemma":[0.9607967,0.01730174,0.006536566,0.004441566,0.009111564,0.001811957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003939898,0.0001002355,0.01611606,0.003041216,0.00006624545,0.0001092456,0.0003355042,0.0007012897,0.002364962,0.004506074,0.8988177,0.07344756],"study_design_scores_gemma":[0.000175083,0.0001088763,0.05461652,0.00148541,0.00005032802,0.0004135357,0.0002829897,0.00169616,0.00356831,0.003435629,0.9340453,0.0001219194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002755982,0.0002536471,0.00338477,0.0004975686,0.00008201156,0.0002474193,0.9812037,0.004203746,0.007371129],"genre_scores_gemma":[0.007606705,0.0004656288,0.0167345,0.0006457281,0.00006589042,0.0008381319,0.9675325,0.002779413,0.003331489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08824151,"threshold_uncertainty_score":0.2951973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0517359305505737,"score_gpt":0.3537966277201123,"score_spread":0.3020606971695387,"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."}}