{"id":"W2012988023","doi":"10.1139/g01-153","title":"High-throughput targeted SSR marker development in peach (<i>Prunus persica</i>)","year":2002,"lang":"en","type":"article","venue":"Genome","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prunus; Biology; Amplified fragment length polymorphism; Microsatellite; Genetics; Genetic marker; Locus (genetics); Gene; Quantitative trait locus; Computational biology; Botany; Genetic diversity; Allele; 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":[0.0006551276,0.0003318966,0.0004300975,0.0004878148,0.0002286224,0.0004714185,0.0004233265,0.0003843034,0.0006347111],"category_scores_gemma":[0.0006236584,0.0002844726,0.0004539507,0.0004090503,0.0002107413,0.0002476408,0.0003735408,0.0005398739,0.0006784003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004041955,"about_ca_system_score_gemma":0.0002569714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581667,"about_ca_topic_score_gemma":0.00298895,"domain_scores_codex":[0.9996557,0.0000797407,0.00002852259,0.0001009098,0.0001020118,0.00003312391],"domain_scores_gemma":[0.999715,0.00008988818,0.00006039511,0.00004755001,0.00005260877,0.00003457153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002582874,0.00001254986,0.0002808108,0.00003799248,0.000006727119,0.00006539262,0.00002446484,0.0002133944,0.9957151,0.00005052688,0.00003336219,0.003533765],"study_design_scores_gemma":[0.00003534732,0.0004555491,0.01521755,0.00001266983,0.00006938307,0.0007577357,0.00005369644,0.002571314,0.9766814,0.0001520725,0.003974874,0.00001835354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.836533,0.001626226,0.1547847,0.0002115969,0.0000443854,0.0006427777,0.001890851,0.001461348,0.002805189],"genre_scores_gemma":[0.8158566,0.001960031,0.1650019,0.0001593207,0.00002193355,0.0004928705,0.006841283,0.0002589246,0.009406952],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001581667,"threshold_uncertainty_score":0.003464699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004206419209159,"score_gpt":0.1919390247964435,"score_spread":0.1818969606043519,"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."}}