{"id":"W2531603316","doi":"10.1093/nar/gkw906","title":"PMDBase: a database for studying microsatellite DNA and marker development in plants","year":2016,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Microsatellite; Biology; Genome; Genetics; Database; Genetic diversity; Genetic marker; Identification (biology); Computational biology; Gene; Allele; Population; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001738158,0.002418065,0.002639721,0.005805939,0.0008197407,0.002247858,0.002961478,0.00157765,0.01215179],"category_scores_gemma":[0.004029128,0.001318151,0.001183516,0.007075739,0.0003788587,0.002919559,0.002562563,0.001743131,0.01932974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005871041,"about_ca_system_score_gemma":0.00179351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00144668,"about_ca_topic_score_gemma":0.001290233,"domain_scores_codex":[0.9990867,0.0001382665,0.0002226719,0.0002486815,0.0002171943,0.00008640653],"domain_scores_gemma":[0.9983265,0.0004905099,0.0003810118,0.0003259787,0.0002073116,0.0002686373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003676898,0.0004641732,0.008699975,0.01769346,0.0008216246,0.001988105,0.001322741,0.003460933,0.2755961,0.0086369,0.3690205,0.3086186],"study_design_scores_gemma":[0.0006169785,0.0003513768,0.01573262,0.0006639565,0.0005167068,0.002297401,0.0002390542,0.005955951,0.06441957,0.007670016,0.9012915,0.0002447748],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01545671,0.006190986,0.1485819,0.000370015,0.0002247045,0.0005668823,0.7068047,0.1130148,0.008789365],"genre_scores_gemma":[0.01723819,0.003050304,0.1431773,0.0002551196,0.00007515997,0.0009475616,0.8261049,0.006358285,0.002793228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01215179,"threshold_uncertainty_score":0.04065174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0606213959826406,"score_gpt":0.3299750691392145,"score_spread":0.2693536731565739,"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."}}