{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001644347,0.001116857,0.0005842285,0.0005989713,0.0008754243,0.0005210866,0.0005603972,0.0007160334,0.006809856],"category_scores_gemma":[0.0001747382,0.0005263403,0.0008447011,0.0005941191,0.0004699189,0.00063071,0.0005785211,0.001832004,0.002778066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263767,"about_ca_system_score_gemma":0.0006650476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003390547,"about_ca_topic_score_gemma":0.004316087,"domain_scores_codex":[0.9994863,0.00003970259,0.00002855732,0.0002607809,0.0001056776,0.00007884735],"domain_scores_gemma":[0.9998795,0.00001673648,0.00002897879,0.00001928652,0.00002509369,0.00003034554],"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":[0.0001417909,0.00003335247,0.0001508709,0.0001478054,0.00001114307,0.00009535746,0.00003680732,0.0001012021,0.9949758,0.0003629664,0.000405531,0.00353749],"study_design_scores_gemma":[0.00007608637,0.0002810892,0.008154294,0.00003198745,0.00006094717,0.0006923889,0.0001153779,0.001270444,0.9114619,0.000417192,0.07739776,0.00004054682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8407494,0.01410217,0.07161713,0.001437537,0.001392469,0.001230886,0.01320399,0.004371923,0.05189453],"genre_scores_gemma":[0.8316372,0.003585795,0.04778931,0.0008099806,0.0001127036,0.0006821098,0.03150671,0.0005925538,0.08328358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006809856,"threshold_uncertainty_score":0.02278125,"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."}}