{"id":"W3015923635","doi":"10.5539/jas.v12n5p37","title":"Genetic Diversity Analysis of Hybrid Rice Parental Lines and Genetic Purity Assessment of Hybrid Seeds of China","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Japonica; Pedigree chart; Genetic diversity; Biology; Cultivar; Genetic similarity; Allele; Japonica rice; Locus (genetics); Genetic analysis; Horticulture; Inbred strain; Similarity (geometry); Genetic distance; Biotechnology; Genetics; Genetic variation; Botany; Gene; Population; 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":[0.000610604,0.0002429072,0.0002465613,0.001470589,0.0004004679,0.0002115069,0.0002242478,0.000144549,0.0004839048],"category_scores_gemma":[0.0004306343,0.000171532,0.000355743,0.0008942815,0.0002502901,0.000104341,0.0003256214,0.0002162659,0.0001155625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003617314,"about_ca_system_score_gemma":0.0003632184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003586575,"about_ca_topic_score_gemma":0.005548062,"domain_scores_codex":[0.9995754,0.00004067142,0.00005425296,0.0001609522,0.0001225954,0.00004607481],"domain_scores_gemma":[0.9996786,0.00005288603,0.00005525109,0.00003665325,0.0001035923,0.0000730663],"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":[0.0003077425,0.00007703145,0.1023252,0.0000862166,0.0001127143,0.0003662943,0.001208761,0.0002525017,0.8770823,0.0002675652,0.0001051112,0.01780863],"study_design_scores_gemma":[0.00003521582,0.0002527022,0.9579622,0.000007242599,0.00007984944,0.0006763914,0.0002319875,0.0009066417,0.03829706,0.0001270988,0.001397707,0.00002598334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980939,0.00007030702,0.001108839,0.000009196496,0.000002492805,0.00001894988,0.0002754548,0.00001337922,0.0004074815],"genre_scores_gemma":[0.9949602,0.00008302022,0.002623858,0.00001464272,0.000002209435,0.00004075115,0.00151221,0.00001160794,0.0007513802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003586575,"threshold_uncertainty_score":0.007131398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02231056966458313,"score_gpt":0.2641261198143373,"score_spread":0.2418155501497541,"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."}}