{"id":"W2546724949","doi":"10.1139/gen-2015-0105","title":"A single molecular marker to distinguish between species of <i>Dioscorea</i>","year":2016,"lang":"en","type":"article","venue":"Genome","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Food and Drug Administration; U.S. Department of Agriculture","keywords":"Dioscorea; Biology; Locus (genetics); DNA barcoding; Molecular marker; Botany; Genus; Identification (biology); Evolutionary biology; 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":[0.000218658,0.0003370932,0.0004082398,0.001066077,0.0002440107,0.0003877984,0.0002798076,0.0005227094,0.001089591],"category_scores_gemma":[0.0003849662,0.0001444124,0.0003349718,0.000550291,0.0002332261,0.0003046208,0.0002671698,0.0004879085,0.0006360266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002140373,"about_ca_system_score_gemma":0.0001878571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009694258,"about_ca_topic_score_gemma":0.002128836,"domain_scores_codex":[0.9997252,0.00002693121,0.00002296722,0.0001365894,0.00004798874,0.00004026523],"domain_scores_gemma":[0.9996407,0.00007372658,0.0001514655,0.00002621412,0.00005340825,0.00005454631],"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":[0.0000813025,0.00004200729,0.009992776,0.00007784003,0.000017227,0.00005746712,0.00006339809,0.00003342454,0.9792545,0.00003837225,0.00004362181,0.0102981],"study_design_scores_gemma":[0.00003775886,0.001039742,0.475784,0.00008907199,0.0003035354,0.001966933,0.0004570271,0.002276669,0.5048138,0.0001682053,0.01301832,0.00004494966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797766,0.001408559,0.01519954,0.00008309713,0.00004371613,0.00006938437,0.001488209,0.0001895728,0.001741473],"genre_scores_gemma":[0.9534326,0.000447767,0.04043273,0.0001238806,0.00001373374,0.00007383014,0.003512456,0.00003787678,0.001925094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001089591,"threshold_uncertainty_score":0.003645062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377941968254199,"score_gpt":0.2151625506653969,"score_spread":0.201383130982855,"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."}}