{"id":"W1977406619","doi":"10.4141/cjps10014","title":"Efficiency of RAPD and ISSR markers in assessing genetic diversity and relationships in black gram (<i>Vigna mungo</i> L. Hepper) vari","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rural Development Administration","keywords":"RAPD; UPGMA; Biology; Jaccard index; Genetic diversity; Vigna; Gram; Genetic similarity; Similarity (geometry); Genetic distance; Genetics; Botany; Veterinary medicine; Genetic variation; Population; Mathematics; Bacteria; Statistics; 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":[0.002865052,0.0003455481,0.000422383,0.001398582,0.0002092367,0.0005334744,0.0003570332,0.0004384255,0.0001733708],"category_scores_gemma":[0.001994977,0.0002560357,0.000256345,0.0009269746,0.0002712531,0.0004257194,0.0003939956,0.0002719855,0.0001690727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002687956,"about_ca_system_score_gemma":0.0001270629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009139255,"about_ca_topic_score_gemma":0.001632693,"domain_scores_codex":[0.9973398,0.001217687,0.0001970479,0.00050248,0.0006297234,0.0001132795],"domain_scores_gemma":[0.9986824,0.0006467836,0.0002463709,0.0001002752,0.000205532,0.0001186732],"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":[0.000745202,0.0002044361,0.09984811,0.0001671236,0.000203185,0.0001078617,0.0004811794,0.0006706591,0.8697888,0.00007658717,0.00003930844,0.0276676],"study_design_scores_gemma":[0.00005037817,0.002306112,0.7043315,0.00004228848,0.0003944659,0.0006875738,0.0004945543,0.01105934,0.2783956,0.0001422381,0.002021681,0.00007438002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968507,0.0004657483,0.002201658,0.00001634431,0.000002654804,0.00001416569,0.0001119522,0.00001727408,0.0003196581],"genre_scores_gemma":[0.9885402,0.0002860305,0.01030354,0.00002409136,0.000003603092,0.00003118914,0.0004604321,0.000009169338,0.0003416337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002865052,"threshold_uncertainty_score":0.01515198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747055478810239,"score_gpt":0.1972952489172871,"score_spread":0.1798246941291847,"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."}}