{"id":"W2283162041","doi":"10.21273/jashs.140.3.243","title":"Development and Transferability of Black and Red Raspberry Microsatellite Markers from Short-Read Sequences","year":2015,"lang":"en","type":"article","venue":"Journal of the American Society for Horticultural Science","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Blowing a raspberry; Microsatellite; Biology; Rubus; Transferability; Genetics; Botany; Allele; Horticulture; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001217466,0.0003937608,0.0003877495,0.0005860748,0.0001899553,0.0005618248,0.0003950114,0.0004095144,0.000663103],"category_scores_gemma":[0.002525834,0.0003231311,0.0004121236,0.0002728426,0.0002247941,0.0004291185,0.0005653751,0.0004881607,0.0006908706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638052,"about_ca_system_score_gemma":0.0002423876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007570386,"about_ca_topic_score_gemma":0.001926519,"domain_scores_codex":[0.9990762,0.000139642,0.00007739,0.0003410044,0.000299998,0.00006560949],"domain_scores_gemma":[0.9987197,0.0003942425,0.0003827249,0.0001804826,0.000217776,0.0001050629],"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":[0.0001049551,0.00001453947,0.002005935,0.00004934129,0.00001683384,0.0000480601,0.00008536923,0.0002058249,0.9854581,0.0000621171,0.00002186998,0.01192711],"study_design_scores_gemma":[0.00003707518,0.0006208062,0.07282554,0.00004874203,0.0001160174,0.0008467842,0.0001554458,0.007385008,0.9122761,0.0002683554,0.005379801,0.00004026657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499363,0.0006488429,0.04676415,0.00007112589,0.00002024474,0.000110114,0.0005326045,0.00046338,0.001453253],"genre_scores_gemma":[0.8225734,0.0007230162,0.1697903,0.0001580805,0.00001874213,0.000201876,0.002579494,0.0002790196,0.003675982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001217466,"threshold_uncertainty_score":0.006438673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333184102105293,"score_gpt":0.2650556529186657,"score_spread":0.2417238118976128,"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."}}