{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001860468,0.0001061973,0.0004072336,0.0001146713,0.000115711,0.00001043901,0.0002233108,0.0000530643,0.00009907828],"category_scores_gemma":[0.00004117775,0.00004060064,0.0001697648,0.001100958,0.00009649635,0.0001813665,0.0001960545,0.00007829051,0.000002190346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002359366,"about_ca_system_score_gemma":0.000002637941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008764806,"about_ca_topic_score_gemma":0.00005270303,"domain_scores_codex":[0.9991862,0.0001028365,0.0002652812,0.0001351474,0.0001863115,0.00012424],"domain_scores_gemma":[0.9991384,0.0001356701,0.0004940038,0.00003939779,0.0001327803,0.00005979108],"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":[0.000220757,0.000177667,0.1269745,0.00002106182,0.001246526,0.0000696965,0.0005819353,0.00008352669,0.8642848,0.0005638387,0.0003410964,0.005434608],"study_design_scores_gemma":[0.000198961,0.0002437668,0.9964787,0.00001627325,0.0004673379,0.00000239129,0.0006791909,0.0002398998,0.0007041768,0.00003583993,0.0008529801,0.00008051947],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999043,0.00004543124,0.00005139993,0.0005872002,0.00003948369,0.00007646705,0.00007699493,0.00001285338,0.00006714981],"genre_scores_gemma":[0.9989939,0.0006128015,0.00003062323,0.00001598225,0.00003252632,7.617682e-8,0.00004923959,4.265516e-7,0.0002644004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8695042,"threshold_uncertainty_score":0.1655646,"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."}}