{"id":"W1122674687","doi":"","title":"将水稻半胱氨酸蛋白酶抑制剂（Oryzacystatin I）基因导入甘薯品种","year":2004,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Transgenic Plants and Applications","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0001290766,0.0002631836,0.0001518179,0.000227338,0.000258304,0.0006251697,0.0001203625,0.0002020265,0.001358193],"category_scores_gemma":[0.0001119932,0.0001732299,0.000197005,0.0003498061,0.000635468,0.0004222655,0.0001566332,0.0005327338,0.0005924239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009186894,"about_ca_system_score_gemma":0.0008068171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519845,"about_ca_topic_score_gemma":0.001601596,"domain_scores_codex":[0.9999055,0.000006984269,0.000005715386,0.00003278214,0.00002868741,0.00002029086],"domain_scores_gemma":[0.9999198,0.000009762773,0.00002441665,0.000006337315,0.00001923421,0.00002049972],"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":[0.0001312054,0.00001059092,0.001770988,0.00008264155,0.000009955159,0.0001663366,0.0001101687,0.0004217626,0.9807773,0.004188142,0.0002093286,0.01212159],"study_design_scores_gemma":[0.00002131452,0.0001298895,0.01138513,0.00002478824,0.00003992925,0.0005063906,0.0003298093,0.001397519,0.9523925,0.004062412,0.02968903,0.00002134592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8954483,0.004078034,0.05584383,0.001270019,0.000242934,0.00009052191,0.001372231,0.0005318237,0.04112234],"genre_scores_gemma":[0.9668883,0.002250922,0.01749706,0.0001544704,0.00003555083,0.00003281431,0.0008589398,0.00004933246,0.01223268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001519845,"threshold_uncertainty_score":0.006665587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00891803567079478,"score_gpt":0.2468484926220556,"score_spread":0.2379304569512609,"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."}}