{"id":"W2091613085","doi":"10.3732/apps.1300013","title":"Microsatellite markers for Russian olive (<i>Elaeagnus angustifolia</i>; Elaeagnaceae)","year":2013,"lang":"en","type":"article","venue":"Applications in Plant Sciences","topic":"Phytochemical and Pharmacological Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Microsatellite; Locus (genetics); Allele; Population; Genetic marker; Botany; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004191098,0.0001940606,0.0001825145,0.0005659658,0.0001624288,0.0002002543,0.0002079789,0.000152222,0.0005864696],"category_scores_gemma":[0.0004839789,0.00008502645,0.0001888551,0.0003501666,0.0001581512,0.0001454495,0.0001802936,0.0002011704,0.0002951611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016132,"about_ca_system_score_gemma":0.0003728319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227809,"about_ca_topic_score_gemma":0.002748975,"domain_scores_codex":[0.9998566,0.00002490216,0.00001693861,0.000060075,0.00002816327,0.00001332117],"domain_scores_gemma":[0.9995795,0.00007380536,0.0002013118,0.00002679556,0.00007884574,0.00003975233],"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":[0.0003446882,0.0001184382,0.09331137,0.0002889257,0.00006724661,0.0002741492,0.000387531,0.001298272,0.837896,0.0007475645,0.0002125953,0.06505318],"study_design_scores_gemma":[0.0001357599,0.001309803,0.8098047,0.0002791274,0.0003307117,0.003452519,0.0006130572,0.005772708,0.1608225,0.001475839,0.01593382,0.00006930649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828337,0.0005341362,0.01404607,0.00006140745,0.00001121083,0.00006438368,0.0007195414,0.00005766254,0.001671821],"genre_scores_gemma":[0.9604671,0.0004750919,0.0359592,0.00003690492,0.00001104933,0.00007899259,0.001639144,0.00001098838,0.001321396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001227809,"threshold_uncertainty_score":0.002441287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03784931263755863,"score_gpt":0.3101341727107866,"score_spread":0.272284860073228,"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."}}