{"id":"W4388713253","doi":"10.47413/vidya.v2i2.261","title":"MORPHOLOGICAL CHARACTERIZATION AND MULTIVARIATE ANALYSIS OF DIFFERENT GENOTYPES OF MUNGBEAN (VIGNA RADIATA (L.) R. WILCZEK)","year":2023,"lang":"en","type":"article","venue":"VIDYA - A JOURNAL OF GUJARAT UNIVERSITY","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Vigna; Radiata; Biology; Crop; Randomized block design; Subtropics; Genotype; Horticulture; Genetic diversity; Principal component analysis; Agronomy; Mathematics; Population; Ecology; Statistics","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":[0.0002074946,0.0002000673,0.0001771116,0.0005407092,0.0001929416,0.0002254585,0.00008704934,0.00008996404,0.0006236631],"category_scores_gemma":[0.000253611,0.00006574873,0.0003427882,0.0004360458,0.0001326976,0.00009525764,0.0001496267,0.0002503724,0.000144983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433133,"about_ca_system_score_gemma":0.00008667535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002198607,"about_ca_topic_score_gemma":0.003330017,"domain_scores_codex":[0.9998527,0.00002716195,0.00001084845,0.00006522185,0.00002774378,0.00001636675],"domain_scores_gemma":[0.9998135,0.00002793715,0.00006015605,0.0000262746,0.00003739537,0.00003474023],"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":[0.0003320621,0.0001788054,0.09502707,0.00005580944,0.00006580626,0.0001025758,0.0003922472,0.000382386,0.8798625,0.00007889923,0.0001373837,0.02338457],"study_design_scores_gemma":[0.000002620817,0.0001432051,0.985212,0.000002072921,0.00002267623,0.0001179152,0.000110999,0.000566921,0.01335843,0.00002432113,0.0004303195,0.000008611935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982046,0.00004787825,0.001194459,0.000008757686,0.000002491907,0.000007783812,0.0002933539,0.00001919964,0.0002214406],"genre_scores_gemma":[0.9922123,0.00005828944,0.005206056,0.00001320266,0.000002789777,0.00002475796,0.00143433,0.00001867497,0.001029546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002198607,"threshold_uncertainty_score":0.004371703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832666392654901,"score_gpt":0.2000045801468385,"score_spread":0.1816779162202895,"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."}}