{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007045359,0.0002982196,0.0005145185,0.003389603,0.001485019,0.0008542134,0.0009595891,0.0002947646,0.0007107743],"category_scores_gemma":[0.00113497,0.0003364477,0.0007390449,0.002671226,0.0007873459,0.0001586901,0.0009271787,0.0004967149,0.0001397781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743497,"about_ca_system_score_gemma":0.001282328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03810703,"about_ca_topic_score_gemma":0.07134531,"domain_scores_codex":[0.9990385,0.0001978101,0.00006677592,0.0003302665,0.0001376535,0.0002290333],"domain_scores_gemma":[0.9988717,0.000371481,0.0001529372,0.0001615778,0.000259132,0.0001831298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001503051,0.0004506618,0.7304998,0.00008297776,0.0006152674,0.00111215,0.01455071,0.001721887,0.2247248,0.001760759,0.0001862534,0.02279175],"study_design_scores_gemma":[0.00001450454,0.0001447417,0.9950091,0.000005341247,0.00008806879,0.0002931494,0.001187673,0.001348197,0.001477936,0.0000855193,0.0003255503,0.00002021745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995655,0.000009086581,0.0001986688,0.000002747375,6.127732e-7,0.000007851183,0.0000382046,0.000004053107,0.0001731956],"genre_scores_gemma":[0.9989617,0.00001448755,0.0005537394,0.000005265651,8.458684e-7,0.00001210198,0.0002791423,0.000006403602,0.0001663118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03810703,"threshold_uncertainty_score":0.07577044,"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."}}