{"id":"W2335903885","doi":"10.1139/gen-2015-0197","title":"Calibrating the taxonomy of a megadiverse insect family: 3000 DNA barcodes from geometrid type specimens (Lepidoptera, Geometridae)","year":2016,"lang":"en","type":"article","venue":"Genome","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Gordon and Betty Moore Foundation; National Institutes of Health; National Science Foundation","keywords":"Barcode; DNA barcoding; Biology; Taxonomy (biology); Lepidoptera genitalia; Taxon; Evolutionary biology; Zoology; Ecology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003320666,0.0002470497,0.0002968933,0.0001370398,0.0001244105,0.00002168227,0.0004800001,0.0002056284,0.0004796966],"category_scores_gemma":[0.0002268511,0.0001498113,0.0001613784,0.00030835,0.0002734439,0.00001397351,0.0002763083,0.000115062,0.0001835142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002946596,"about_ca_system_score_gemma":0.0001086092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001611948,"about_ca_topic_score_gemma":0.0000238779,"domain_scores_codex":[0.9984874,0.0001444772,0.0003733581,0.0004821458,0.0001260759,0.0003865006],"domain_scores_gemma":[0.9987332,0.0001850581,0.0002122351,0.0006600413,0.0001073092,0.000102164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002292181,0.0000694374,0.02434301,0.00001005356,0.0003846987,0.000008959497,0.00008383369,0.0000122783,0.950151,0.00007833121,0.0003606863,0.02426845],"study_design_scores_gemma":[0.001147673,0.0004967951,0.02192078,0.00002976622,0.00006634976,0.000006290167,0.0001259182,0.000004063203,0.1533661,0.0001024246,0.8222989,0.000434883],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744902,0.001805491,0.002525788,0.0003017325,0.0003240491,0.0003516591,0.0002593818,0.0000189543,0.01992271],"genre_scores_gemma":[0.9966571,0.0002962756,0.001169693,0.0006111795,0.0005730632,0.00004011665,0.0001165975,0.00002037187,0.0005156238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8219383,"threshold_uncertainty_score":0.6109127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095420355152939,"score_gpt":0.2160664517537642,"score_spread":0.1851122482022348,"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."}}