{"id":"W1186206053","doi":"10.13271/j.mpb.013.000581","title":"拟南芥、水稻和番茄SWEET/MtN3/saliva基因家族的分析","year":2015,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Saliva; 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":[0.0006240856,0.0003611727,0.0003020375,0.0004804478,0.001403103,0.002979276,0.0004210183,0.0008901262,0.00645497],"category_scores_gemma":[0.000739985,0.0002603683,0.0005862254,0.0005692538,0.001683531,0.003943619,0.001167723,0.001141394,0.001170001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107647,"about_ca_system_score_gemma":0.002044804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006826405,"about_ca_topic_score_gemma":0.006266891,"domain_scores_codex":[0.9996977,0.00006847572,0.000018556,0.00007900991,0.00008011083,0.00005615656],"domain_scores_gemma":[0.9998015,0.0000325346,0.00003215298,0.00001151453,0.00008916882,0.00003321177],"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":[0.001079477,0.0001816669,0.01639511,0.002647113,0.0003706332,0.002778135,0.01381037,0.003428613,0.2680739,0.423219,0.02386753,0.2441485],"study_design_scores_gemma":[0.0001157001,0.000424837,0.03867114,0.0007633841,0.0002894532,0.002183227,0.03515758,0.005894816,0.1479056,0.2488174,0.5193563,0.0004205893],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5450266,0.02906033,0.03115889,0.01913534,0.00131437,0.0002429683,0.001393281,0.0004980273,0.3721701],"genre_scores_gemma":[0.9128413,0.01292579,0.01556361,0.002784296,0.0001633244,0.0001453877,0.0005413474,0.0000931227,0.05494184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006826405,"threshold_uncertainty_score":0.02159405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0220948738053614,"score_gpt":0.2657633685080244,"score_spread":0.243668494702663,"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."}}