{"id":"W2806989118","doi":"10.2134/agronj2018.01.0068","title":"Molecular Identification and Characterization of Seeded Turf Bermudagrass Cultivars Using Simple Sequence Repeat Markers","year":2018,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Oklahoma Agricultural Experiment Station; U.S. Department of Agriculture","keywords":"Cultivar; Biology; Genetic diversity; Germplasm; Cynodon dactylon; Microsatellite; Agronomy; Genetic marker; Locus (genetics); Allele; Population; Genetics; Gene","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":[0.0001082066,0.0001988975,0.000153122,0.0003944391,0.0001389304,0.0002251691,0.0001642096,0.0001923909,0.0003429781],"category_scores_gemma":[0.0002750572,0.00009242236,0.0001514044,0.0002790896,0.0001221124,0.00008999623,0.000171777,0.0001283373,0.000101232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002158741,"about_ca_system_score_gemma":0.0001450569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003215553,"about_ca_topic_score_gemma":0.009570567,"domain_scores_codex":[0.9999013,0.00000973109,0.00001079928,0.00003960344,0.00002435058,0.00001419865],"domain_scores_gemma":[0.999795,0.0000350335,0.00006855008,0.00001653813,0.00004407556,0.00004077941],"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":[0.0001603616,0.00002313696,0.08329041,0.00003994599,0.00003202077,0.0002672585,0.0004216099,0.000088014,0.9072003,0.00003304878,0.00003208845,0.008411729],"study_design_scores_gemma":[0.000007920376,0.0001725999,0.9830094,0.000005254015,0.00002307601,0.0004185484,0.0002023641,0.0004279606,0.01514984,0.00001559737,0.0005611256,0.000006378175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994739,0.00003239498,0.0002974547,0.000003313884,9.702088e-7,0.000004456228,0.00008871117,0.000003920639,0.00009494818],"genre_scores_gemma":[0.9962201,0.00005876924,0.002248324,0.00002057942,0.000001832589,0.00001436286,0.0008850281,0.000005374876,0.000545865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003215553,"threshold_uncertainty_score":0.006393671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638814714956357,"score_gpt":0.2492175601502723,"score_spread":0.2328294130007087,"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."}}