{"id":"W2546612070","doi":"10.1007/s12010-016-2307-1","title":"Population Structure Analysis and Selection of Core Set among Common Bean Genotypes from Jammu and Kashmir, India","year":2016,"lang":"en","type":"article","venue":"Applied Biochemistry and Biotechnology","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Science and Engineering Research Board","keywords":"Genetic diversity; Dendrogram; Biology; Population; Selection (genetic algorithm); Microsatellite; Loss of heterozygosity; Analysis of molecular variance; Genetic structure; Biotechnology; Veterinary medicine; Allele; Genetics; Demography; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00004426778,0.0001111174,0.000208171,0.00002245068,0.0001011451,0.00001098579,0.00006573218,0.0004311844,0.00002990877],"category_scores_gemma":[0.000005514694,0.00004206262,0.00002137162,0.0002332857,0.0001553965,0.00001826005,0.00005949378,0.00007526173,1.396225e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006716011,"about_ca_system_score_gemma":0.000001389707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001673942,"about_ca_topic_score_gemma":0.001150704,"domain_scores_codex":[0.9994004,0.000007706883,0.0001311832,0.0002855636,0.00005614082,0.0001189446],"domain_scores_gemma":[0.9997553,0.00004307863,0.0001119462,0.00004025041,0.00001120798,0.00003819754],"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":[0.00002601502,0.000005801547,0.09868646,0.000006398574,0.00004666613,6.554239e-7,0.000005592795,4.801901e-8,0.8724378,0.0002009767,0.000003606866,0.02857992],"study_design_scores_gemma":[0.00007581276,0.00002908326,0.3730932,0.000007101347,0.00006249051,0.000003758598,0.00006131776,0.00001003905,0.625136,0.001408354,0.00003225668,0.00008059158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990711,0.0001530038,0.0000168809,0.0001415569,0.00000783124,0.00006687688,0.0004969541,0.00003422904,0.00001163504],"genre_scores_gemma":[0.9992822,0.0002253858,0.0002067201,0.00001509481,0.00002980265,0.000002354447,0.0002252242,6.926605e-7,0.00001257161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2744068,"threshold_uncertainty_score":0.3325689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005205418911510589,"score_gpt":0.1788511358554593,"score_spread":0.1736457169439488,"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."}}