{"id":"W101244573","doi":"","title":"利用农杆菌介导法将柠檬酸合成酶基因（CS）导入籼稻品种明恢86","year":2006,"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":"Computer science","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":[0.0005693677,0.0001876034,0.0001377702,0.0006811039,0.001206834,0.003149057,0.0002580312,0.0005194383,0.003434215],"category_scores_gemma":[0.0007576286,0.0001666644,0.0001240096,0.001345029,0.002866581,0.002652781,0.0004089228,0.0005694208,0.0003280246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005294999,"about_ca_system_score_gemma":0.003904315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03529131,"about_ca_topic_score_gemma":0.03225822,"domain_scores_codex":[0.9997099,0.00006029834,0.00001278965,0.00009030487,0.00009016925,0.00003646163],"domain_scores_gemma":[0.9997088,0.00009384642,0.00005565299,0.000009039735,0.0001036312,0.00002891623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001705526,0.00007869738,0.02427298,0.0004171646,0.00004333161,0.0004833458,0.01953614,0.004459376,0.01254603,0.7793127,0.008412977,0.1502668],"study_design_scores_gemma":[0.00007680299,0.0002019214,0.160493,0.0002976931,0.0001012346,0.0005344247,0.07157308,0.006783838,0.03017994,0.3123198,0.4173096,0.000128779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5396892,0.008875501,0.01296266,0.01849992,0.0002295089,0.00008731111,0.0002580922,0.00009344397,0.4193043],"genre_scores_gemma":[0.9566466,0.002271813,0.003294308,0.000270617,0.0000261582,0.0000177597,0.00005369289,0.000009014169,0.03741011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03529131,"threshold_uncertainty_score":0.07017177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01539249016369935,"score_gpt":0.2111627555240267,"score_spread":0.1957702653603274,"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."}}