{"id":"W1999412716","doi":"10.1139/g10-012","title":"Microsatellite-based genetic relationships in the genus<i>Camellia</i>: potential for improving cultivars","year":2010,"lang":"en","type":"article","venue":"Genome","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Camellia; Microsatellite; Cultivar; Genus; Evolutionary biology; Genetics; Botany; Allele; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009878818,0.0003467175,0.0005355112,0.001395083,0.0001741583,0.0004970154,0.0005918471,0.0003988804,0.001169808],"category_scores_gemma":[0.001061868,0.0001400393,0.0003340677,0.001176046,0.0001846125,0.0005993933,0.0002574562,0.000235871,0.0002910974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004803597,"about_ca_system_score_gemma":0.000216812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008952871,"about_ca_topic_score_gemma":0.001490829,"domain_scores_codex":[0.9996922,0.00006456886,0.00004688175,0.000117449,0.00005424077,0.00002472524],"domain_scores_gemma":[0.9991817,0.0001320586,0.0003835677,0.00005770721,0.000154294,0.00009073519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005125327,0.00007099215,0.07297569,0.0005655313,0.0001188637,0.000283247,0.0004529992,0.0003953229,0.8567594,0.0002331838,0.0002592464,0.06737299],"study_design_scores_gemma":[0.00009822789,0.002096384,0.8891078,0.0002692971,0.0004125823,0.001418836,0.00086144,0.003141459,0.08798751,0.0006132736,0.01388206,0.0001111193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877952,0.003204526,0.006218516,0.0001965927,0.00002606545,0.00005140609,0.001269547,0.0001614791,0.001076595],"genre_scores_gemma":[0.9686195,0.001275896,0.0265977,0.0001037375,0.00005185318,0.00004579567,0.002815328,0.00003700468,0.0004531587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001395083,"threshold_uncertainty_score":0.005224526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01196094997350311,"score_gpt":0.2221124159909002,"score_spread":0.2101514660173971,"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."}}