{"id":"W2783874636","doi":"10.5376/mpb.2017.08.008","title":"Genetic Diversity Analysis of Capsicum Genus by SSR Markers","year":2017,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Germplasm; Genetic diversity; Biology; Pepper; UPGMA; Subspecies; Loss of heterozygosity; Microsatellite; Genetic distance; Genetics; Population; Allele; Genetic variation; Botany; Horticulture; Zoology; 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":[0.0006163932,0.0004045835,0.0003522435,0.002801461,0.0003307522,0.0003965261,0.0002313145,0.0002192149,0.0007588678],"category_scores_gemma":[0.0007494958,0.0001700825,0.0004884488,0.001704612,0.0001682567,0.000195099,0.0003017301,0.0002861251,0.0002742917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001979859,"about_ca_system_score_gemma":0.0001867765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007393492,"about_ca_topic_score_gemma":0.0006876932,"domain_scores_codex":[0.9994572,0.0001059563,0.00005740313,0.0001978957,0.0001345172,0.00004700646],"domain_scores_gemma":[0.9995977,0.00007191418,0.0001359306,0.00003693129,0.0001128082,0.00004458649],"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":[0.0005362686,0.0002091579,0.2852618,0.0003288552,0.0005643657,0.0005850046,0.001521073,0.001745522,0.6273482,0.0004882007,0.0004582921,0.0809533],"study_design_scores_gemma":[0.00002810619,0.0004051329,0.9569699,0.00005924594,0.0002950656,0.0009406649,0.0004232944,0.005878837,0.03169062,0.0003848208,0.002879719,0.00004441029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917052,0.0006129806,0.005884521,0.00002330622,0.000008655527,0.00003702156,0.0007137273,0.00005752672,0.0009570959],"genre_scores_gemma":[0.9865991,0.0003409258,0.01000828,0.0000161361,0.00001117164,0.00005762513,0.002617088,0.00001787106,0.0003318274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002801461,"threshold_uncertainty_score":0.003259778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665119182894541,"score_gpt":0.1803705716975199,"score_spread":0.1637193798685745,"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."}}