{"id":"W4396233843","doi":"10.1007/978-1-0716-3581-0_24","title":"A Measure of the DNA Barcode Gap for Applied and Basic Research","year":2024,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"DNA barcoding; Intraspecific competition; Pairwise comparison; Barcode; Interspecific competition; Biology; Evolutionary biology; Genetic distance; Taxon; Taxonomy (biology); Ecology; Artificial intelligence; Computer science; Genetic variation; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002586043,0.0000890841,0.0001266265,0.000121275,0.00006178646,0.00001948714,0.0002519531,0.0001891023,0.000007036243],"category_scores_gemma":[0.0006536933,0.00006828774,0.00007522709,0.0002924466,0.0003221495,0.000001102619,0.0001244023,0.000145979,0.000001792809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000962222,"about_ca_system_score_gemma":0.00008291569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000402533,"about_ca_topic_score_gemma":0.000006583094,"domain_scores_codex":[0.9982913,0.0007895026,0.0002417376,0.0004066368,0.00007826148,0.0001925819],"domain_scores_gemma":[0.9992414,0.0001427854,0.00003863676,0.0004327241,0.0001172247,0.00002728708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002288848,0.00001624987,0.00005897745,0.00005388911,0.00002508408,1.548414e-7,0.00005306424,0.000002736046,0.9083326,0.0814334,0.0002682905,0.009732595],"study_design_scores_gemma":[0.0001837252,0.00005577595,0.0002483802,0.00001687579,0.000009945741,0.000004207345,0.00006330654,0.0001387792,0.9358936,0.0102162,0.05309202,0.00007719057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07048723,0.00397719,0.9208871,0.001219266,0.0004344262,0.0007861966,0.00003831129,0.00001315918,0.002157187],"genre_scores_gemma":[0.844426,0.0001003795,0.1542635,0.0001792022,0.00006729172,0.0003144879,0.00005090533,0.00002990762,0.000568409],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7739387,"threshold_uncertainty_score":0.2784693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136919803291249,"score_gpt":0.476734775668896,"score_spread":0.3630427953397711,"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."}}