{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00097338,0.0005711047,0.0004958381,0.002142493,0.0004437245,0.001044143,0.0005403249,0.0009562132,0.001174796],"category_scores_gemma":[0.001039162,0.0003814233,0.0002903789,0.003023472,0.0006688964,0.0009371208,0.0003787515,0.001400236,0.0005573117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006624367,"about_ca_system_score_gemma":0.00089561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00228216,"about_ca_topic_score_gemma":0.002848061,"domain_scores_codex":[0.9994605,0.0001469559,0.00005002134,0.0001144221,0.0001823015,0.00004580561],"domain_scores_gemma":[0.9996706,0.0001201487,0.00004456993,0.00002203448,0.000113077,0.00002956689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001659872,0.00007678453,0.003018454,0.001390114,0.00004746383,0.0008235693,0.0003655853,0.003682027,0.2301158,0.02751252,0.001499217,0.7313024],"study_design_scores_gemma":[0.00007896231,0.0004640864,0.009799084,0.0007129118,0.0002495123,0.002155771,0.0005869428,0.009217726,0.3059364,0.04633348,0.6242635,0.0002016775],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08734321,0.2617667,0.6169841,0.00458875,0.001229664,0.0004650212,0.001144216,0.000810202,0.02566816],"genre_scores_gemma":[0.2438003,0.1703088,0.5671726,0.0007058156,0.0005341338,0.0003475493,0.001179051,0.00008853708,0.01586332],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00228216,"threshold_uncertainty_score":0.005147755,"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."}}