{"id":"W1905421268","doi":"10.1111/j.1755-0998.2010.02901.x","title":"The DNA Barcode Linker","year":2010,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada","keywords":"Barcode; DNA barcoding; Biology; Identification (biology); Exploit; Database; DNA sequencing; Computational biology; DNA; Information retrieval; Computer science; World Wide Web; Genetics; Evolutionary biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002937717,0.0001154615,0.00008078558,0.00003472557,0.0003932776,0.00008021155,0.0004430829,0.0002157529,0.00007967492],"category_scores_gemma":[0.0002900112,0.00009063892,0.00009057458,0.00008327093,0.000329955,0.000001903529,0.0001038373,0.0002003878,0.0002028285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003274363,"about_ca_system_score_gemma":0.00003694875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002427291,"about_ca_topic_score_gemma":0.0001626017,"domain_scores_codex":[0.9990087,0.0001057709,0.0002104553,0.0003198734,0.0001073685,0.0002479005],"domain_scores_gemma":[0.9990122,0.00003289631,0.00009484705,0.0006770496,0.0001109709,0.00007197505],"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":[0.00001315921,0.00002954617,0.002021554,0.000001939456,0.00003603928,0.000001863057,0.00003712881,0.000006338189,0.9882835,0.003746663,0.005049303,0.0007730382],"study_design_scores_gemma":[0.0001527425,0.00003520265,0.01670875,6.012664e-7,0.000009565924,0.00001917585,0.00004672481,0.00002732426,0.3591722,0.0001525878,0.6235725,0.000102621],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913749,0.0001902511,0.0003746947,0.00267928,0.0006147534,0.0001539666,0.000004447259,0.00002654379,0.004581148],"genre_scores_gemma":[0.9929581,0.00003365871,0.0002391567,0.0008441889,0.0001639421,0.00006693841,0.00004813966,0.00002203319,0.005623859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6291112,"threshold_uncertainty_score":0.3696148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005558088446059903,"score_gpt":0.240042923951521,"score_spread":0.2344848355054611,"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."}}