{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002329003,0.0002829,0.0003788924,0.0003092554,0.000440166,0.00008244112,0.0004646582,0.0002473007,0.001270297],"category_scores_gemma":[0.0007464815,0.0002068696,0.0001427205,0.0003013488,0.0002967204,0.0003615344,0.0002420134,0.0003500341,0.001159785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002186311,"about_ca_system_score_gemma":0.00009596438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003144938,"about_ca_topic_score_gemma":0.0004929603,"domain_scores_codex":[0.9972091,0.0003502027,0.0005824231,0.0005803613,0.0002679423,0.001010004],"domain_scores_gemma":[0.9980968,0.001058513,0.000150929,0.0003230977,0.0001784905,0.000192127],"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":[0.0002845364,0.0001812953,0.008909871,0.0001214239,0.000128385,0.00003852711,0.0009124749,0.00001685019,0.9797988,0.0004035736,0.007920775,0.001283473],"study_design_scores_gemma":[0.004631578,0.0001028444,0.0615042,0.00008361397,0.00009281105,0.00003180664,0.0008227303,0.00009938757,0.2581534,0.001116055,0.6727349,0.000626701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820259,0.002123826,0.001317921,0.00474201,0.001301808,0.002015532,0.0008890308,0.0001828019,0.00540123],"genre_scores_gemma":[0.9113868,0.001537657,0.000231878,0.0003956692,0.000278923,0.0005404412,0.00005614034,0.00003993109,0.0855326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7216454,"threshold_uncertainty_score":0.9996427,"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."}}