{"id":"W990317858","doi":"","title":"Genetic Dissection, Marker-assisted Introgression, and Pyramiding of Agronomic Traits in Rice","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Introgression; Biology; Biotechnology; Marker-assisted selection; Genetic marker; Genetics; 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":[0.0005237874,0.0004792799,0.0003595705,0.0007181081,0.0003360427,0.000349164,0.0005952388,0.000381649,0.0004900764],"category_scores_gemma":[0.0003789345,0.0004144895,0.0006732756,0.0006386154,0.0004351758,0.0003271003,0.0005706145,0.001509972,0.0002612357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004545552,"about_ca_system_score_gemma":0.000483236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468321,"about_ca_topic_score_gemma":0.002347688,"domain_scores_codex":[0.9997004,0.0000471491,0.00004110383,0.00007941837,0.00008745616,0.00004443463],"domain_scores_gemma":[0.9997725,0.00005584576,0.00006614769,0.00004008247,0.00001630958,0.00004911728],"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":[0.0001111018,0.00007011421,0.0005323621,0.00003916309,0.00001397189,0.0001540896,0.0001117708,0.0004525142,0.991239,0.0005681969,0.00003811945,0.006669635],"study_design_scores_gemma":[0.0001686866,0.0006327398,0.03400074,0.00002598375,0.0002177943,0.001438742,0.0002488349,0.008408931,0.9450341,0.001223514,0.008524287,0.00007562608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9515749,0.0006061601,0.04469741,0.000284894,0.00003692269,0.0001559841,0.0004032584,0.0002977543,0.001942811],"genre_scores_gemma":[0.9527013,0.001224212,0.03728107,0.0002013952,0.00003254846,0.0001484901,0.001751768,0.0002182983,0.006440979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001468321,"threshold_uncertainty_score":0.003298104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504387844943337,"score_gpt":0.2295549192995045,"score_spread":0.2145110408500712,"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."}}