{"id":"W2759696172","doi":"10.1139/gen-2017-0115","title":"Molecular identification of species of <i>Physalis</i> (Solanaceae) using a candidate DNA barcode: the chloroplast <i>psbA</i>–<i>trnH</i> intergenic region","year":2017,"lang":"en","type":"article","venue":"Genome","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Biology; Physalis; DNA barcoding; Intergenic region; Barcode; Chloroplast DNA; Botany; Phylogenetic tree; Solanaceae; Genetics; Evolutionary biology; Genome; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003213924,0.0004266644,0.0002323871,0.0008855467,0.0002879169,0.0003576872,0.0002664149,0.0004063822,0.0006874635],"category_scores_gemma":[0.0004847992,0.0001321541,0.0003736451,0.000566402,0.0002939944,0.0003537083,0.0003040356,0.0003619535,0.0004750027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003582341,"about_ca_system_score_gemma":0.0004483974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001325118,"about_ca_topic_score_gemma":0.002445195,"domain_scores_codex":[0.9997304,0.00004629021,0.0000233398,0.0000971557,0.00007217169,0.00003055339],"domain_scores_gemma":[0.9996647,0.00007886103,0.0001408046,0.00002542137,0.0000601151,0.00003015768],"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":[0.00009183677,0.00003149813,0.006019243,0.0001354465,0.00001751558,0.00007055512,0.0001490885,0.00005924256,0.9832009,0.00009174486,0.00004172534,0.01009125],"study_design_scores_gemma":[0.00005690827,0.001222889,0.3528068,0.0001255931,0.0003184713,0.002136596,0.001100572,0.00349983,0.611314,0.0004376601,0.02689637,0.00008430888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977141,0.00212257,0.01715633,0.0001897509,0.00007548397,0.0001237332,0.001001414,0.0002052597,0.001984591],"genre_scores_gemma":[0.9563425,0.0009943757,0.03704765,0.0001474576,0.00002368418,0.0001037154,0.003143801,0.00004655909,0.002150201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001325118,"threshold_uncertainty_score":0.002634823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223362547197071,"score_gpt":0.2631972902898261,"score_spread":0.240861035570119,"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."}}