{"id":"W2255864627","doi":"","title":"瓜叶菊F3＇5＇H基因cDNA的克隆、序列分析及其原核表达","year":2005,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Complementary DNA; Computer science; Biology; 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":[0.001327781,0.001528065,0.001642965,0.001031131,0.002254594,0.0016219,0.00105526,0.00160028,0.01969855],"category_scores_gemma":[0.001351054,0.001100527,0.001717537,0.00132814,0.001528629,0.001940876,0.0006185236,0.003877928,0.01175687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001789914,"about_ca_system_score_gemma":0.002470819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00232162,"about_ca_topic_score_gemma":0.002779241,"domain_scores_codex":[0.9981968,0.0002432258,0.0001416612,0.000660871,0.0003940553,0.0003634303],"domain_scores_gemma":[0.9989914,0.0003704415,0.0000828606,0.0001210893,0.0003236738,0.0001104423],"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":[0.0006337239,0.0001775523,0.0007211528,0.001293013,0.0000363459,0.0004349487,0.0006599645,0.0002577897,0.9628747,0.00434399,0.006668972,0.0218979],"study_design_scores_gemma":[0.000168044,0.0005923146,0.003610621,0.000221924,0.0002214513,0.001083611,0.0005601086,0.002253822,0.799297,0.003978568,0.1878892,0.0001233005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3554164,0.01964273,0.4341485,0.00556931,0.007773686,0.004373605,0.03778667,0.008053953,0.1272351],"genre_scores_gemma":[0.3151447,0.01247549,0.367958,0.003960847,0.0013151,0.007084875,0.06226804,0.002642805,0.2271501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01969855,"threshold_uncertainty_score":0.06589824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006761071940245053,"score_gpt":0.2451952197754795,"score_spread":0.2384341478352344,"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."}}