{"id":"W2026211231","doi":"10.1139/g06-060","title":"Genetic diversity among varieties of the native forage grass <i>Trichloris crinita</i> based on AFLP markers, morphological characters, and quantitative agronomic traits","year":2006,"lang":"en","type":"article","venue":"Genome","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Nacional de Cuyo; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Biology; Amplified fragment length polymorphism; Genetic diversity; Forage; Botany; Quantitative trait locus; Agronomy; Genetics; Gene; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.000144946,0.0001502835,0.0001852327,0.00001561201,0.0003155031,0.00002341846,0.0002596758,0.00008903688,0.0000342666],"category_scores_gemma":[0.00001814135,0.00005854724,0.00009105045,0.0001712937,0.0002474492,0.00004099467,0.0001558354,0.0001175287,0.000002892788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002124818,"about_ca_system_score_gemma":0.000007097519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003119495,"about_ca_topic_score_gemma":0.000241328,"domain_scores_codex":[0.9990935,0.0001313782,0.0001675364,0.0002508032,0.0001459608,0.0002107671],"domain_scores_gemma":[0.9993832,0.0003391845,0.0001424117,0.00005030171,0.00003625101,0.00004869307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005647941,0.0003763261,0.7735126,0.00002854736,0.00007011024,0.00003657552,0.0002812828,0.0007598831,0.220647,0.001559053,0.0002537221,0.001910082],"study_design_scores_gemma":[0.0001516811,0.0003160131,0.9974746,0.000005870915,0.0000217913,0.000001950929,0.000114134,0.00009157661,0.0007023435,0.0005333174,0.0004454171,0.0001412688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998271,0.0001312012,0.00002503144,0.0001741279,0.00005920795,0.0002592085,0.0005037842,0.00001370597,0.0005626795],"genre_scores_gemma":[0.9995465,0.00002652394,0.000135922,0.0001495966,0.00005658015,0.000008078322,0.00003515378,8.19394e-7,0.00004077586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.223962,"threshold_uncertainty_score":0.2426626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708430112854912,"score_gpt":0.1746170888733564,"score_spread":0.1575327877448073,"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."}}