{"id":"W4405851952","doi":"10.5376/gab.2024.15.0033","title":"Accelerating Yam Breeding Cycles with Genomic Selection","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genomic selection; Selection (genetic algorithm); Biotechnology; Biology; Computer science; Genetics; Genotype; Artificial intelligence; 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":[0.001034461,0.0003167475,0.0003299787,0.0005548328,0.0004065527,0.000695591,0.0003890151,0.0002650741,0.002742578],"category_scores_gemma":[0.001187098,0.0001277766,0.0002643399,0.0007153977,0.0002133437,0.0004905131,0.0007275902,0.0003500633,0.0005029809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003417369,"about_ca_system_score_gemma":0.000711405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008228634,"about_ca_topic_score_gemma":0.002161592,"domain_scores_codex":[0.9995939,0.0001603292,0.0000236193,0.0001123093,0.00006562151,0.00004425112],"domain_scores_gemma":[0.999513,0.0001799561,0.0001085786,0.00005997886,0.00007863423,0.00005987279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005384661,0.0004973201,0.06187858,0.0004692309,0.0001339247,0.0004344766,0.0008207116,0.009757166,0.2713954,0.01098214,0.001347647,0.6417449],"study_design_scores_gemma":[0.0003849712,0.005576292,0.5894831,0.0003851015,0.001266818,0.002290451,0.002660718,0.08168147,0.1264552,0.02216262,0.1674092,0.0002441714],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8890938,0.001600905,0.09332863,0.0004020181,0.00008291327,0.0001971228,0.0003315331,0.0006760621,0.01428709],"genre_scores_gemma":[0.9142623,0.001085383,0.07938953,0.0002566186,0.00004524959,0.0001538269,0.0006217433,0.00009685418,0.00408849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002742578,"threshold_uncertainty_score":0.009174883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767862461001429,"score_gpt":0.2763113638341633,"score_spread":0.248632739224149,"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."}}