{"id":"W2181641122","doi":"10.18869/acadpub.rmm.1.2.1","title":"DNA Barcoding: a new tool with wide array of applications","year":2013,"lang":"en","type":"article","venue":"Research in Molecular Medicine","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DNA barcoding; Barcode; Identification (biology); Biology; Evolutionary biology; Computational biology; DNA sequencing; DNA; Computer science; Genetics; Ecology","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":[0.00387877,0.001401306,0.00181299,0.007921594,0.001240588,0.004120284,0.002514231,0.002957436,0.009887601],"category_scores_gemma":[0.006187622,0.0008767382,0.001053607,0.006364336,0.003030482,0.006105231,0.004591128,0.004270726,0.0122938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009803626,"about_ca_system_score_gemma":0.001539254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006570331,"about_ca_topic_score_gemma":0.0005321866,"domain_scores_codex":[0.9937284,0.0008762469,0.0003288509,0.001171153,0.003683342,0.0002119897],"domain_scores_gemma":[0.9946815,0.002129834,0.0004770406,0.0007937566,0.001467243,0.0004505963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001333502,0.00006466319,0.001101898,0.001620505,0.00007575735,0.0003221547,0.0004111127,0.0006394067,0.05583605,0.02281048,0.06343837,0.8535463],"study_design_scores_gemma":[0.00001462353,0.0001049678,0.0008156575,0.0008283944,0.00005327283,0.001865919,0.0001738496,0.00171698,0.02986432,0.02327776,0.9411411,0.0001430561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005250344,0.1596555,0.7337983,0.01744478,0.007918456,0.0003505997,0.00378967,0.02086227,0.05093003],"genre_scores_gemma":[0.03783099,0.1374296,0.7566664,0.01355747,0.006378171,0.0008955329,0.005062109,0.002096719,0.04008308],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009887601,"threshold_uncertainty_score":0.03307736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05134541056211887,"score_gpt":0.3603380009493242,"score_spread":0.3089925903872053,"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."}}