{"id":"W1537455928","doi":"10.1111/j.1755-0998.2011.03094.x","title":"Multiplexed microsatellite markers for genetic studies of beech","year":2011,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Beech; Biology; Microsatellite; Multiplex; Genotyping; Linkage disequilibrium; Fagus sylvatica; Genetics; Allele; Multiplex polymerase chain reaction; Evolutionary biology; Computational biology; Genotype; Haplotype; Ecology; Polymerase chain reaction; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001089034,0.0003448667,0.0002779218,0.001442241,0.0002421218,0.0004977821,0.0003864324,0.0003304005,0.0006939433],"category_scores_gemma":[0.001292753,0.0002829439,0.0001593143,0.0008279154,0.0001867566,0.0002973903,0.0004109884,0.0004130776,0.0002928737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586833,"about_ca_system_score_gemma":0.0002183445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007861651,"about_ca_topic_score_gemma":0.00308017,"domain_scores_codex":[0.999265,0.0002293447,0.0000759973,0.0002216562,0.0001531614,0.00005483222],"domain_scores_gemma":[0.9993104,0.0001625559,0.0001855461,0.0001187584,0.0001038223,0.0001187747],"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":[0.0003754727,0.0001159986,0.01612726,0.00008471351,0.00006572952,0.0001326138,0.0001834362,0.001213129,0.94313,0.0005688334,0.0001935638,0.0378092],"study_design_scores_gemma":[0.0002312651,0.00173806,0.3224455,0.000138009,0.0003332804,0.001765098,0.0002801325,0.02811131,0.6177287,0.002194953,0.0248693,0.0001644703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9117703,0.002776624,0.08033901,0.00007757148,0.00006802155,0.0003855427,0.002555679,0.0003529105,0.0016743],"genre_scores_gemma":[0.7700237,0.0008044149,0.2242009,0.00006108945,0.00002900439,0.000405841,0.002235548,0.00003499751,0.002204593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001442241,"threshold_uncertainty_score":0.005759418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463010135643359,"score_gpt":0.2526559080415402,"score_spread":0.2280258066851066,"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."}}