{"id":"W1151433356","doi":"","title":"Metabolic Engineering of Carotenoid Synthesis： Development of a Production System with Nicotiana glauca and Improvement of the Nutritional Value of Potato","year":2007,"lang":"en","type":"article","venue":"分子植物育种","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Carotenoid; Metabolic engineering; Production (economics); Biotechnology; Value (mathematics); Nicotiana; Biology; Horticulture; Food science; Solanaceae; Mathematics; Biochemistry; Economics","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":[0.0001804239,0.0003038377,0.0002027189,0.0001974639,0.0002057328,0.0003400724,0.0002513058,0.0002257969,0.000388149],"category_scores_gemma":[0.0001196597,0.0001631931,0.0002983698,0.0002396572,0.0001292975,0.0001852245,0.0002287318,0.0004888885,0.0001974341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004174146,"about_ca_system_score_gemma":0.0002966184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00198687,"about_ca_topic_score_gemma":0.00209428,"domain_scores_codex":[0.9999013,0.00001958737,0.00001025555,0.00002718857,0.00002660194,0.00001513106],"domain_scores_gemma":[0.9999464,0.00001132266,0.00001092114,0.000008269563,0.000008532751,0.00001445924],"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":[0.00002226815,0.00001239122,0.00009037067,0.00001119733,0.000001848932,0.00002092979,0.000007774848,0.0001378086,0.9986767,0.0000810838,0.000005592872,0.0009319512],"study_design_scores_gemma":[0.000008883837,0.0001003928,0.001308721,0.000003261642,0.00001663605,0.00008847637,0.00002493293,0.001770596,0.9956495,0.00006297034,0.0009610823,0.00000449609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885668,0.0002999659,0.009260505,0.00009962497,0.0000158444,0.00003288436,0.0001468002,0.00009263283,0.001485],"genre_scores_gemma":[0.9874803,0.00034954,0.009444091,0.00001570568,0.000002398063,0.00001911579,0.0003951703,0.00002794812,0.002265655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00198687,"threshold_uncertainty_score":0.003950596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00496574059105459,"score_gpt":0.1929923319572059,"score_spread":0.1880265913661513,"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."}}