{"id":"W2519380702","doi":"10.1139/gen-2015-0205","title":"Multi-locus DNA barcoding identifies <i>matK</i> as a suitable marker for species identification in <i>Hibiscus</i> L.","year":2016,"lang":"en","type":"article","venue":"Genome","topic":"Hibiscus Plant Research Studies","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Calicut; Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Biology; DNA barcoding; Hibiscus; Molecular marker; Botany; Genetic marker; Locus (genetics); Barcode; Evolutionary biology; Taxon; Genetics; 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":[0.0002264219,0.0002286355,0.000278311,0.0008464012,0.0003250461,0.0004372734,0.0002566017,0.0002839129,0.0006637037],"category_scores_gemma":[0.0003834605,0.000126925,0.0002568465,0.0008352017,0.0002671227,0.0002720239,0.0002766072,0.0003233727,0.0003466589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587025,"about_ca_system_score_gemma":0.0001980006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00170223,"about_ca_topic_score_gemma":0.004161833,"domain_scores_codex":[0.9998176,0.00002400509,0.00001626129,0.00007688431,0.00003666464,0.0000287228],"domain_scores_gemma":[0.9996094,0.00008890234,0.0001803774,0.00003545861,0.00004853783,0.00003739287],"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":[0.0002042499,0.00004231376,0.01963308,0.0001456195,0.000020958,0.0001413443,0.0002744055,0.0001271238,0.965789,0.0001119876,0.00006586849,0.013444],"study_design_scores_gemma":[0.00002151369,0.000324838,0.6030554,0.00008240643,0.0002249898,0.001483403,0.0007290257,0.003514248,0.3810675,0.000211855,0.009246033,0.00003873426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905236,0.0009083285,0.005534418,0.00008027029,0.00001937693,0.00003334625,0.001380019,0.00008693494,0.001433767],"genre_scores_gemma":[0.9795919,0.000394905,0.01538571,0.00007997215,0.00001488867,0.00002882467,0.003419447,0.00003181015,0.001052611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00170223,"threshold_uncertainty_score":0.003384709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347784252111705,"score_gpt":0.4204220619000689,"score_spread":0.2856436366888984,"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."}}