{"id":"W4307369002","doi":"10.55251/jmbfs.9219","title":"MOLECULAR CHARACTERIZATION AND GENETIC DIVERSITY STUDIE OF SOYBEAN (GLYCINE MAX L.) CULTIVARS USING RAPD MARKERS","year":2022,"lang":"en","type":"article","venue":"Journal of Microbiology Biotechnology and Food Sciences","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Barrie Urology Group","funders":"European Regional Development Fund; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Kultúrna a Edukacná Grantová Agentúra MŠVVaŠ SR","keywords":"Dendrogram; RAPD; UPGMA; Genetic diversity; Biology; Genotype; Genetic marker; Polymorphism (computer science); Veterinary medicine; Genetics; Gene; Population; Medicine","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":[0.0003898886,0.0003185822,0.0003243279,0.001107024,0.0001650952,0.0002253033,0.0001689262,0.0002269181,0.0002261998],"category_scores_gemma":[0.000476248,0.0001504672,0.0003140826,0.0006998352,0.000137858,0.0001272344,0.00017585,0.0002809608,0.0001677092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000163538,"about_ca_system_score_gemma":0.0001247831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008411005,"about_ca_topic_score_gemma":0.001065367,"domain_scores_codex":[0.9996529,0.0000528991,0.00004557778,0.0001363212,0.00008203008,0.00003045601],"domain_scores_gemma":[0.9997668,0.00005761937,0.00007167893,0.00001910597,0.00005137511,0.00003351684],"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":[0.000143253,0.00005759714,0.02021454,0.0001053514,0.00003299621,0.0001682228,0.0001829428,0.0002158813,0.970019,0.00003454202,0.00002751867,0.00879815],"study_design_scores_gemma":[0.00005618318,0.001033099,0.8254796,0.00004950046,0.000177318,0.001795637,0.000361595,0.003655071,0.164026,0.0001310649,0.003191812,0.00004307529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949023,0.0004193041,0.003481124,0.00002041421,0.000005140574,0.00003206061,0.0006802511,0.00002207715,0.000437383],"genre_scores_gemma":[0.9726834,0.0005736475,0.02207867,0.00003555836,0.000006878874,0.0001038753,0.00393969,0.00002324735,0.0005551701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001107024,"threshold_uncertainty_score":0.002061963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877975108054571,"score_gpt":0.2057904575501992,"score_spread":0.1870107064696535,"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."}}