{"id":"W2925336211","doi":"","title":"DNA molecular markers and their applications in sugarcane breeding","year":2005,"lang":"en","type":"article","venue":"分子植物育种","topic":"Sugarcane Cultivation and Processing","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RAPD; Biology; Amplified fragment length polymorphism; Genetic marker; Restriction fragment length polymorphism; Molecular marker; Identification (biology); Genetics; DNA; Molecular breeding; Computational biology; Biotechnology; Gene; Genetic diversity; Genotype; Botany; Medicine; 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":[0.000124465,0.00006540993,0.00006465511,0.00001123087,0.00008325836,0.00003680485,0.00007557084,0.00003620884,0.0001427151],"category_scores_gemma":[0.0000161992,0.000024831,0.00001790685,0.0002179565,0.00002848935,0.0000746721,0.00002405193,0.00005515074,0.000006307769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001346812,"about_ca_system_score_gemma":0.000003523373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000602503,"about_ca_topic_score_gemma":0.0003268414,"domain_scores_codex":[0.9995682,0.00002093534,0.00009229213,0.0001429178,0.00005175501,0.0001238562],"domain_scores_gemma":[0.9998161,0.00007210609,0.00002577143,0.00002177666,0.00001724269,0.00004706452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000003998135,0.0000245977,0.01775348,0.000004182595,0.00000276891,4.833951e-7,0.0002161914,0.000003855998,0.4632053,0.0005380331,0.00009666834,0.5181504],"study_design_scores_gemma":[0.0004790985,0.0000957551,0.7314072,0.00006562199,0.000006982428,0.0000178097,0.005366883,0.0006444749,0.06852037,0.003025451,0.1898257,0.0005445918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886584,0.0003102588,0.00003332144,0.002715064,0.000008889569,0.00009949056,0.000004187866,0.00003334827,0.00813699],"genre_scores_gemma":[0.9991911,0.00001440616,0.0001367729,0.0004249787,0.00008256108,0.00001738099,0.00001817595,5.563941e-7,0.0001140799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7136537,"threshold_uncertainty_score":0.156263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603230211732054,"score_gpt":0.2180567729225439,"score_spread":0.2020244708052233,"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."}}