{"id":"W1249469738","doi":"","title":"利用分子标记技术聚合Pi-1和Pi-2基因改良三系不育系荣丰A的稻瘟病抗性","year":2012,"lang":"zh","type":"article","venue":"分子植物育种","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software maintainer; Blast disease; Biology; Plant disease resistance; Horticulture; Hybrid; Biotechnology; Gene; Agronomy; Genetics","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":[0.000152208,0.000404297,0.0001898533,0.0002756978,0.0001969858,0.0001773061,0.0002265994,0.000169254,0.0008610783],"category_scores_gemma":[0.00007659092,0.0001020292,0.0002731632,0.000196544,0.0001044938,0.0001575035,0.0001930463,0.000350001,0.0003177856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001654148,"about_ca_system_score_gemma":0.0001861809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007139181,"about_ca_topic_score_gemma":0.001422643,"domain_scores_codex":[0.9999156,0.000006198342,0.000008909183,0.00003319755,0.00002271569,0.0000133234],"domain_scores_gemma":[0.9999521,0.00000357499,0.00001878377,0.000007761767,0.000006500593,0.00001123536],"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":[0.00003292657,0.00001394332,0.001300366,0.00001637545,0.000003454417,0.00006264703,0.00001520661,0.0000315466,0.9950716,0.00004654262,0.00002580799,0.003379496],"study_design_scores_gemma":[0.00005422363,0.001557493,0.1794678,0.00001645578,0.0001490288,0.002172328,0.0001517141,0.00206067,0.8004569,0.0001419576,0.01373834,0.00003308497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992635,0.0002707187,0.005077828,0.00003515001,0.00001573425,0.00005414988,0.0003280899,0.0001596911,0.00142369],"genre_scores_gemma":[0.981834,0.0003928246,0.01085653,0.00005240353,0.000009634997,0.00005391485,0.001964944,0.00003286179,0.004803012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008610783,"threshold_uncertainty_score":0.002880573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07273512042929438,"score_gpt":0.3004124638127805,"score_spread":0.2276773433834862,"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."}}