{"id":"W2588653137","doi":"10.5539/jas.v9n3p245","title":"Heterosis and Specific Combining Ability in Sweet Corn and Its Correlation with Genetic Similarity of Inbred Lines","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heterosis; Inbred strain; Diallel cross; Hybrid; Genetic similarity; Biology; Similarity (geometry); Mating design; Randomized block design; Genetic distance; Biotechnology; Genetics; Genetic variation; Genetic diversity; Horticulture; Population; Artificial intelligence; Gene; Computer science","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":[0.0008060137,0.0003518421,0.0002950862,0.001635248,0.0001698502,0.0003900848,0.0001936434,0.0001727663,0.0005247489],"category_scores_gemma":[0.001068741,0.0001537587,0.0003609687,0.0007286244,0.0003706022,0.0002244538,0.0004510055,0.0002876006,0.0000882769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002509622,"about_ca_system_score_gemma":0.0002218363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000851379,"about_ca_topic_score_gemma":0.001194415,"domain_scores_codex":[0.9991314,0.0001634217,0.0001198488,0.0002214421,0.0003055522,0.00005850221],"domain_scores_gemma":[0.9982273,0.000406473,0.0007684628,0.0001994362,0.0001806456,0.0002176763],"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":[0.0005337844,0.0002297198,0.2172083,0.0001260231,0.0005493299,0.0003314785,0.0004908807,0.00078926,0.7624033,0.000556418,0.00005182218,0.01672962],"study_design_scores_gemma":[0.00001450264,0.0005068695,0.9632982,0.000009080058,0.0001029912,0.0005084463,0.000106059,0.001744591,0.03311653,0.0002693389,0.0002884441,0.00003488694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987534,0.0001322353,0.0007511588,0.000005114004,0.000001295722,0.000005124662,0.00008479704,0.00001199381,0.0002549455],"genre_scores_gemma":[0.9990851,0.00005525859,0.0004566728,0.000004799267,0.000001975831,0.000006551299,0.0002326773,0.000003836332,0.0001532179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001635248,"threshold_uncertainty_score":0.004262686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03918761326346059,"score_gpt":0.2221938845035172,"score_spread":0.1830062712400566,"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."}}