{"id":"W943259581","doi":"","title":"彩色马铃薯二氢黄酮醇4-还原酶（DFR）基因的克隆及生物信息学分析","year":2011,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Phytase and its Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002187336,0.0002550199,0.000248224,0.0000183379,0.0004055465,0.00006948215,0.0005644631,0.0002035299,0.007480109],"category_scores_gemma":[0.00002546548,0.0001108757,0.0001858799,0.0005020781,0.00017116,0.0002116291,0.0001588165,0.000212541,0.004594512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002542146,"about_ca_system_score_gemma":0.00002246282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070071,"about_ca_topic_score_gemma":0.0004112736,"domain_scores_codex":[0.998327,0.00008288815,0.0003254057,0.00050729,0.0002239196,0.0005335136],"domain_scores_gemma":[0.9992301,0.00006911151,0.0001326271,0.0002168925,0.00008464541,0.0002666437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006914417,0.002292039,0.01841283,0.00005075767,0.0001883443,0.00004992632,0.002602949,7.771251e-7,0.1118244,0.3069689,0.1236048,0.4339351],"study_design_scores_gemma":[0.0003753337,0.0006450995,0.39226,0.00007647654,0.0001345993,0.00002392764,0.001167865,0.00003549799,0.009563387,0.07477234,0.5199371,0.001008415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2659141,0.00170051,0.00001990737,0.002139365,0.0005132409,0.0004259072,0.000258445,0.0001744478,0.7288541],"genre_scores_gemma":[0.9909221,0.0004033352,0.0001890178,0.0007719603,0.001005614,0.00004166843,0.00007565555,0.000003384121,0.006587281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.725008,"threshold_uncertainty_score":0.9961805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08246213075549186,"score_gpt":0.225765274266288,"score_spread":0.1433031435107961,"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."}}