{"id":"W2520930969","doi":"","title":"Prunussalicina)WRKY 33的克隆与表达分析","year":2016,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Microbial Metabolism and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"WRKY protein domain; Biology","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":[],"category_scores_codex":[0.0001860378,0.0002605536,0.0002233666,0.00004314505,0.000136476,0.0000358539,0.0003815811,0.0002866949,0.0004029861],"category_scores_gemma":[0.00007557386,0.0001895702,0.000161688,0.0001326929,0.0001751849,0.000005504001,0.0002077856,0.00007846082,0.001050107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001548656,"about_ca_system_score_gemma":0.00009599515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003533838,"about_ca_topic_score_gemma":0.00003164183,"domain_scores_codex":[0.998482,0.00009019366,0.0002884654,0.0005783367,0.0001171208,0.000443855],"domain_scores_gemma":[0.9987427,0.00001791276,0.0001254513,0.0008356104,0.0001004073,0.0001779392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001749725,0.0000988018,0.0004137667,0.00001909109,0.00004910225,0.000001858819,0.00002478457,2.656343e-7,0.8988554,0.01319343,0.04711314,0.04021285],"study_design_scores_gemma":[0.0007695972,0.00008015682,0.00404748,0.00004634654,0.00005927475,0.00001514355,0.00001905396,5.405303e-7,0.1809911,0.001065711,0.8125793,0.0003262318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6594636,0.02657286,0.01979584,0.01979576,0.00284787,0.001753873,0.001760399,0.0001553232,0.2678545],"genre_scores_gemma":[0.9648637,0.002225213,0.0004002324,0.0006152667,0.001677233,0.00003985446,0.00003705664,0.0000487744,0.03009263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7654662,"threshold_uncertainty_score":0.9997277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007623133029447528,"score_gpt":0.2392292348357923,"score_spread":0.2316061018063447,"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."}}