{"id":"W1797361964","doi":"10.5376/mpb.2011.02.0001","title":"Genetic Diversity of Involved Varieties and Improvement of Elite Restorer of Indica Rice (<em>Oryza sativa</em> L.) Using Backcross Introgression","year":2011,"lang":"en","type":"article","venue":"Molecular Plant Breeding","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Introgression; Backcrossing; Oryza sativa; Biology; Genetic diversity; Botany; Genetics; Agronomy; Gene; Population","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":[0.000415085,0.0002623506,0.0002309278,0.0006636097,0.0001798949,0.0002316246,0.0001786392,0.0001334382,0.0006096279],"category_scores_gemma":[0.0002445691,0.0001304971,0.0002506621,0.0003466571,0.0001249573,0.000125299,0.0002152907,0.0002596469,0.0001447108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002184884,"about_ca_system_score_gemma":0.00017135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005236918,"about_ca_topic_score_gemma":0.0008397767,"domain_scores_codex":[0.9997814,0.00002607839,0.00002708593,0.00009561374,0.00003866863,0.00003119003],"domain_scores_gemma":[0.9998815,0.00001607041,0.00003402769,0.00001949995,0.00001622063,0.00003275839],"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":[0.0001537018,0.00008557803,0.02112722,0.00002948002,0.00003498473,0.0001629128,0.0003040078,0.0002480198,0.9672039,0.0002131694,0.0000341911,0.01040285],"study_design_scores_gemma":[0.00005471394,0.0007420612,0.8655515,0.00001924011,0.0002293037,0.001606966,0.0003304641,0.00330339,0.1243126,0.0002949602,0.003520313,0.00003445993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987036,0.00005888098,0.0009581487,0.000007602558,0.000001470489,0.000005696291,0.00008100969,0.00001396748,0.0001696949],"genre_scores_gemma":[0.9959609,0.0001010512,0.0023953,0.00001236127,0.000004391167,0.00001357839,0.0007063793,0.00001232036,0.0007938152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006636097,"threshold_uncertainty_score":0.002195239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504077117857492,"score_gpt":0.2159159618462484,"score_spread":0.1908751906676734,"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."}}