{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000349547,0.00008361378,0.0001870177,0.00006946616,0.0005906028,0.000008200866,0.0002310223,0.0001049698,0.00001846778],"category_scores_gemma":[0.00002341796,0.00004043336,0.00003997713,0.0003320774,0.000611969,0.00004592301,0.0004159836,0.0001463078,7.106772e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001232101,"about_ca_system_score_gemma":0.00001194047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008463197,"about_ca_topic_score_gemma":0.000006061101,"domain_scores_codex":[0.9992711,0.000103842,0.0002359851,0.0001745317,0.00007393744,0.0001406274],"domain_scores_gemma":[0.9995013,0.00003899668,0.0003531548,0.00002680588,0.00005382496,0.00002588103],"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":[0.0000296974,0.00003374066,0.03353269,0.000002630236,0.00003161914,0.000003973126,0.00007153038,0.000009556737,0.9585301,0.00009420582,0.000005455723,0.007654838],"study_design_scores_gemma":[0.001114722,0.01107198,0.6358021,0.00004101248,0.0001362289,0.00191286,0.007554601,0.0003426818,0.3385699,0.001381873,0.001650793,0.0004212289],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973181,0.001102941,0.00007861782,0.001271798,0.0001055652,0.00007978065,0.00003379947,0.000005784051,0.000003586923],"genre_scores_gemma":[0.9991999,0.0002334158,0.0004407437,0.0001021841,0.00001619447,5.522394e-7,0.000004255767,4.945194e-7,0.000002271006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6199601,"threshold_uncertainty_score":0.4542499,"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."}}