{"id":"W4390973228","doi":"10.1002/aps3.11564","title":"An updated and extended version of the Melastomataceae probe set for target capture","year":2024,"lang":"en","type":"letter","venue":"Applications in Plant Sciences","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Montréal; Universiteit Gent; National Science Foundation","keywords":"Melastomataceae; Biology; Set (abstract data type); Process (computing); Computational biology; Computer science; Operating system; Programming language; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001090761,0.00009449748,0.00008708764,0.00005441383,0.0001266777,0.00002676604,0.0003585409,0.0002513072,0.000007706911],"category_scores_gemma":[0.000004967238,0.00006448484,0.00003207856,0.0001580762,0.000198976,0.000003668697,0.00008052366,0.0001311743,9.031367e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004197548,"about_ca_system_score_gemma":0.00006207832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001889978,"about_ca_topic_score_gemma":0.00002720845,"domain_scores_codex":[0.9993268,0.00002555573,0.0001099487,0.0003149398,0.0001193373,0.0001034148],"domain_scores_gemma":[0.999654,0.00001099293,0.00007782289,0.0002133812,0.0000292345,0.00001459264],"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":[0.00001056993,0.00001447568,0.002630376,0.00009900565,0.00002104068,5.293768e-7,0.000200835,0.0001844001,0.01088616,0.0005591235,0.9852895,0.0001039654],"study_design_scores_gemma":[0.00009038498,0.00005168724,0.001548514,0.00001650936,0.0000283325,0.00000937947,0.0001911909,0.0002118215,0.006057307,0.001979789,0.9896978,0.0001173338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6446462,0.004293107,0.008637768,0.2950296,0.001768973,0.008029923,0.03527099,0.00008850761,0.002234904],"genre_scores_gemma":[0.9123298,0.0001137774,0.0126662,0.04817475,0.0006940213,0.0002224537,0.02399039,0.00003027905,0.001778362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2676835,"threshold_uncertainty_score":0.2629616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332733239155257,"score_gpt":0.256009243238385,"score_spread":0.2426819108468324,"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."}}