{"id":"W2359940051","doi":"","title":"Molecular Marker Assisted Selection Technology and Its Application to Crop Breeding","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Marker-assisted selection; Crop; Biotechnology; Biology; Molecular breeding; Genomic selection; Molecular marker; Evolutionary biology; Agronomy; Genetic marker; Computer science; Genetics; Artificial intelligence; Gene; Genotype","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":[0.0009562429,0.0004287919,0.0007194918,0.00119672,0.0002868729,0.0006619813,0.0008476029,0.0006931224,0.001655812],"category_scores_gemma":[0.0008064339,0.0005683673,0.0004015472,0.001279547,0.0007041741,0.0007374198,0.0003675531,0.001697532,0.001152549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002486785,"about_ca_system_score_gemma":0.0002745062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004874569,"about_ca_topic_score_gemma":0.0004491322,"domain_scores_codex":[0.9995959,0.0001139188,0.00002384095,0.0001083404,0.0001309263,0.00002706552],"domain_scores_gemma":[0.999574,0.0002444044,0.00004750273,0.00005258369,0.00005289472,0.00002855634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000365371,0.0001456502,0.001126583,0.0003286864,0.00004706906,0.0003399662,0.0001292195,0.001094246,0.8083158,0.01043426,0.001013002,0.1766603],"study_design_scores_gemma":[0.0001927224,0.00147695,0.01244107,0.0001221902,0.000395032,0.004893092,0.0001209755,0.01920551,0.8573117,0.01201999,0.09165611,0.0001646172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.07644395,0.02338371,0.8905376,0.000700796,0.0003831249,0.000250848,0.0005118772,0.0009729955,0.006815165],"genre_scores_gemma":[0.4275958,0.03965195,0.5158976,0.0003987766,0.0003344213,0.0007300989,0.001320888,0.0002754229,0.01379504],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001655812,"threshold_uncertainty_score":0.005539238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009520366833093468,"score_gpt":0.216317245317169,"score_spread":0.2067968784840756,"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."}}