{"id":"W4200453148","doi":"10.5539/jas.v14n1p94","title":"Genetic Improvement of Local Red Peanut With Using Nuclear Technique (Multigamma Irradiation) for Obtaining Superior Variety","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arachis hypogaea; Selection (genetic algorithm); Biology; Biotechnology; New Variety; Variety (cybernetics); Production (economics); Agronomy; Horticulture; Mathematics; Computer science; Cultivar; Statistics; Artificial intelligence","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":[0.0003023657,0.0004087283,0.0002678212,0.0004614624,0.0002159538,0.0002586438,0.0003092967,0.0002386689,0.0009205439],"category_scores_gemma":[0.0001185448,0.0001540167,0.0003943748,0.0002971185,0.0001899623,0.0002254017,0.0004327775,0.0005267629,0.0001426894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003739337,"about_ca_system_score_gemma":0.0002575601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001018166,"about_ca_topic_score_gemma":0.002854962,"domain_scores_codex":[0.9998379,0.00002201267,0.00001326628,0.00006358149,0.00004219029,0.00002107973],"domain_scores_gemma":[0.9998986,0.00001866541,0.00002995235,0.00001496108,0.00001374907,0.00002414798],"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":[0.00003221522,0.00002041403,0.0007184316,0.00003616374,0.000008009075,0.0001007001,0.00004135976,0.0001855185,0.9958321,0.0001082412,0.00001088329,0.002906013],"study_design_scores_gemma":[0.00006604355,0.001480563,0.08381526,0.00005119234,0.0002213793,0.002077344,0.0003626701,0.004469631,0.8969409,0.0003488757,0.01011278,0.00005332982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826167,0.0005512876,0.01484259,0.00006282757,0.00001810219,0.00007008341,0.0001736035,0.0001022879,0.001562487],"genre_scores_gemma":[0.9698026,0.0007587022,0.02449637,0.0000733794,0.000007633289,0.00008306384,0.0006030372,0.00005658906,0.004118735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001018166,"threshold_uncertainty_score":0.003079474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094295188925596,"score_gpt":0.2409196656274895,"score_spread":0.2199767137382335,"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."}}