{"id":"W4406078259","doi":"10.5376/mpb.2024.15.0036","title":"Utilizing Sweet Potato Genetic Diversity and Molecular Breeding Techniques for Resistance Breeding and Quality Improvement","year":2024,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Genetic diversity; Molecular breeding; Plant breeding; Biotechnology; Plant disease resistance; Resistance (ecology); Diversity (politics); Genetics; Agronomy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005994668,0.0002751019,0.000298662,0.00004888658,0.0008421934,0.0002574179,0.0002095323,0.0001431729,0.00000498242],"category_scores_gemma":[0.00005416232,0.0001488627,0.0001134143,0.0002233481,0.0000853322,0.0001466687,0.0005111695,0.0001646215,5.976137e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005115812,"about_ca_system_score_gemma":0.000007322874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001598098,"about_ca_topic_score_gemma":0.0001650637,"domain_scores_codex":[0.9981469,0.00003458882,0.0003158411,0.0007065464,0.000320617,0.0004755437],"domain_scores_gemma":[0.99942,0.0002015132,0.00009257202,0.00006751777,0.00005460979,0.0001638118],"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":[0.00004367573,0.00001108131,0.001511059,0.0002195389,0.00004106004,0.0001504305,0.00008851523,5.393861e-7,0.977419,0.004241787,0.0001181327,0.01615513],"study_design_scores_gemma":[0.00120713,0.00215787,0.06503386,0.004171837,0.0005980376,0.0005475383,0.002972238,0.004735294,0.8488379,0.009545761,0.05634378,0.003848784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903029,0.005040748,0.00240906,0.0004679494,0.0001336103,0.0004613262,0.0005021002,0.0002063031,0.0004759707],"genre_scores_gemma":[0.9961123,0.0003858473,0.002977222,0.0002348171,0.0001284188,0.00003000064,0.00005094799,0.000005220386,0.00007523133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1285812,"threshold_uncertainty_score":0.6477556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204207270034008,"score_gpt":0.2336539802879881,"score_spread":0.201611907587648,"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."}}