{"id":"W2981166328","doi":"","title":"ISSR marker and its application in crop genetics and breeding","year":2005,"lang":"en","type":"article","venue":"分子植物育种","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsatellite; Germplasm; Biology; Genetic diversity; Genetic marker; Identification (biology); Biotechnology; Plant breeding; Genetics; Allele; Agronomy; Gene; Population; Botany; Medicine","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":[0.00009680076,0.00006126025,0.00005542225,0.00002241262,0.00004064039,0.00001535264,0.00004193575,0.00006499084,0.000007211619],"category_scores_gemma":[0.00001021914,0.00006133182,0.000009770017,0.00002419682,0.0000184899,0.000001730089,0.0000649534,0.00003068026,0.000004949178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002360334,"about_ca_system_score_gemma":0.000006194849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001091632,"about_ca_topic_score_gemma":0.00003146631,"domain_scores_codex":[0.9996029,0.00001146369,0.00007067693,0.0001704837,0.00003949715,0.0001049758],"domain_scores_gemma":[0.999854,0.000003756523,0.00001989533,0.00006274443,0.00001654413,0.00004307155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002662448,0.00004116628,0.1180616,0.00003488218,0.00001608503,0.000001840511,0.0001529074,0.00006401332,0.8187276,0.0002404481,0.001605836,0.06102706],"study_design_scores_gemma":[0.00175394,0.0002509507,0.5127249,0.00004678759,0.00003322104,0.00007810495,0.0003084994,0.005894775,0.08870829,0.0002245127,0.3893771,0.0005989002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928087,0.003307377,0.00015499,0.0002681433,0.000015965,0.00006626014,0.000008007712,0.000004160715,0.00336641],"genre_scores_gemma":[0.9976611,0.0009139274,0.0004776071,0.0001733875,0.0001124431,0.000002738627,0.00001223826,0.000003944187,0.0006425796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7300193,"threshold_uncertainty_score":0.2501039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048069005354807,"score_gpt":0.2259716501439021,"score_spread":0.2154909600903541,"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."}}