{"id":"W2098457033","doi":"10.1111/j.1471-8286.2006.01230.x","title":"Screening of ESTs from <i>Septoria musiva</i> (teleomorph <i>Mycosphaerella populorum</i>) for detection of SSR and PCR–RFLP markers","year":2006,"lang":"en","type":"article","venue":"Molecular Ecology Notes","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et de Services Sociaux des Laurentides; Université Laval","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biology; RAPD; Septoria; Restriction fragment length polymorphism; Mycosphaerella; Microsatellite; Polymerase chain reaction; Genetics; Genetic marker; Locus (genetics); Expressed sequence tag; Sequence-tagged site; Gene mapping; Botany; Population; Gene; Genome; Genetic diversity; Allele","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":[0.0001583974,0.00034301,0.000203587,0.0003492303,0.0001364985,0.0001791004,0.0001475163,0.0001807942,0.001018276],"category_scores_gemma":[0.0003004708,0.0001258738,0.000281984,0.0003049091,0.0001115844,0.0001212229,0.0001646553,0.0003167016,0.0006726156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009605065,"about_ca_system_score_gemma":0.00009585338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002991591,"about_ca_topic_score_gemma":0.0005578516,"domain_scores_codex":[0.9999207,0.0000114162,0.000009226994,0.0000260627,0.00001652673,0.00001605346],"domain_scores_gemma":[0.9997246,0.00009932603,0.00006652966,0.00002670867,0.00004881053,0.00003407514],"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":[0.00005783353,0.00001738923,0.002160412,0.00002177947,0.000004548343,0.00008735534,0.00003952379,0.00004840724,0.9957181,0.00002483431,0.00003886894,0.001781056],"study_design_scores_gemma":[0.00004444391,0.0004650312,0.1949473,0.00003019119,0.00007967331,0.001655073,0.0002503147,0.001351102,0.7962715,0.0001245798,0.004767029,0.00001379368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878116,0.000107803,0.007384198,0.0000410261,0.00001172461,0.00003856185,0.003433319,0.00007627015,0.001095365],"genre_scores_gemma":[0.9607145,0.0002372436,0.01357741,0.000122348,0.00001613124,0.00008629561,0.02174565,0.00006672416,0.003433724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001018276,"threshold_uncertainty_score":0.003406525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005215837240531093,"score_gpt":0.2026602492697125,"score_spread":0.1974444120291814,"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."}}