{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001173861,0.0001781448,0.000277247,0.00005034201,0.00006113214,0.000007548194,0.000112389,0.0002408708,0.000009681517],"category_scores_gemma":[0.000151472,0.000188962,0.0001481969,0.00006678051,0.0001227117,0.000004146915,0.00007919455,0.00005353645,6.399944e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006415062,"about_ca_system_score_gemma":0.00003294027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002089062,"about_ca_topic_score_gemma":0.0002839424,"domain_scores_codex":[0.9989353,0.0000674098,0.0003035782,0.0003602378,0.00008679111,0.0002466525],"domain_scores_gemma":[0.9993217,0.000105833,0.0001984098,0.0002191282,0.00009515676,0.00005976844],"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":[0.0003716624,0.00007567793,0.04258801,0.00003725659,0.00009721711,0.000008972906,0.000003470646,0.0001372461,0.9550813,0.00005056928,0.0002283042,0.001320293],"study_design_scores_gemma":[0.0009839809,0.0004322685,0.07476145,0.00001809494,0.0001317594,0.00001083724,0.00001394826,0.0001836344,0.9214623,0.0003626604,0.001442619,0.0001964332],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792974,0.002124968,0.01695313,0.00003218806,0.0001778903,0.0002775834,0.001046077,0.000009742749,0.00008100494],"genre_scores_gemma":[0.9950653,0.00008440293,0.003887386,0.0001182362,0.00009474684,0.00003035555,0.0006746377,0.00002552284,0.00001941634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03361901,"threshold_uncertainty_score":0.7705647,"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."}}