{"id":"W2045048653","doi":"10.1111/j.1439-0523.2008.01526.x","title":"The use of ISSR markers to identify Texas bluegrass interspecific hybrids","year":2008,"lang":"en","type":"article","venue":"Plant Breeding","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poa pratensis; Biology; Hybrid; Interspecific hybrids; Interspecific competition; Botany; Primer (cosmetics); Chloroplast DNA; Genetic marker; Interspecific hybridization; Genetics; Poaceae; Gene; Genome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001854179,0.00008502157,0.00008220208,0.00004125705,0.0001565104,0.00004123244,0.0002335357,0.00001565385,0.0002793931],"category_scores_gemma":[0.00005787633,0.0000627408,0.00004322579,0.0001644722,0.000100791,0.0001649624,0.0001954907,0.00006224395,0.0003048596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008168072,"about_ca_system_score_gemma":0.000002647241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004824526,"about_ca_topic_score_gemma":0.0002120464,"domain_scores_codex":[0.9991138,0.00002116448,0.0001852285,0.000178283,0.0003039113,0.0001975892],"domain_scores_gemma":[0.9995748,0.0001115228,0.00006582586,0.0001646468,0.00000621985,0.00007699234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001613761,0.00008071658,0.08754595,0.0000116624,0.00006675595,0.00008070997,0.001722879,0.003532025,0.03027419,0.00129857,0.8374339,0.03779126],"study_design_scores_gemma":[0.0001759876,0.00006023365,0.5446928,0.0000274827,0.0000110345,0.00003064129,0.0006681901,0.001285558,0.001705934,0.00003592436,0.4511469,0.0001593117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877948,0.00002309979,0.002566851,0.001011232,0.0005083771,0.000270254,0.00002031926,0.00004704645,0.007758039],"genre_scores_gemma":[0.9946848,0.0001096585,0.001273017,0.0002388701,0.00002419237,0.000006064996,0.000004682217,0.00000847228,0.003650234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4571468,"threshold_uncertainty_score":0.3918455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07976544147670901,"score_gpt":0.2514645433142231,"score_spread":0.1716991018375141,"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."}}