{"id":"W2162006117","doi":"10.1139/g03-018","title":"Evaluation of maize microsatellite markers for genetic diversity analysis and fingerprinting in sugarcane","year":2003,"lang":"en","type":"article","venue":"Genome","topic":"Sugarcane Cultivation and Processing","field":"Agricultural and Biological Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Microsatellite; Saccharum officinarum; Genetic diversity; Saccharum; Primer (cosmetics); DNA profiling; Hybrid; Genetic marker; Cultivar; Genetic distance; Botany; Genetics; Genetic variation; Allele; Gene; Population; DNA","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":[0.0009841667,0.00004471561,0.0000931531,0.00002828783,0.0001001356,0.00001433573,0.00004641886,0.00002768346,0.0001933603],"category_scores_gemma":[0.0001292722,0.00002213067,0.00003717946,0.0004085024,0.00002096348,0.00002865929,0.00002573243,0.00002088633,4.616477e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002176574,"about_ca_system_score_gemma":0.000008212192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001556028,"about_ca_topic_score_gemma":0.0005551041,"domain_scores_codex":[0.9994311,0.00008329898,0.000117055,0.0001358276,0.0001334144,0.00009930514],"domain_scores_gemma":[0.9996942,0.0000901024,0.00006270505,0.00001979625,0.0001100695,0.0000231616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001571243,0.00001844981,0.5791617,0.00001289155,0.00004757385,1.886606e-7,0.0004525877,0.0001596372,0.3150634,0.0000171366,7.02583e-7,0.10505],"study_design_scores_gemma":[0.0001479457,0.0000174105,0.9965365,0.000003601245,0.00009600016,3.758633e-7,0.0003006972,0.000357643,0.0017935,0.0004163469,0.000274404,0.00005558406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990977,0.0003874936,0.00004814173,0.00005253591,0.00001135116,0.0001341191,0.000008036585,0.000004026936,0.000256592],"genre_scores_gemma":[0.9988254,0.00002380068,0.001064903,0.00003038823,0.000008359391,0.000004340944,0.00001384837,2.637848e-7,0.00002867947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4173748,"threshold_uncertainty_score":0.211716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04573192707537518,"score_gpt":0.2520561574094569,"score_spread":0.2063242303340817,"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."}}