{"id":"W1513313025","doi":"","title":"基于核糖体DNA的ITS序列和叶绿体trnT-trnL及trnL-trnF基因间区的菊花起源与中国菊属植物分子系统学研究","year":2003,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chloroplast DNA; Biology; Phylogenetic tree; Intergenic region; Evolutionary biology; Ancestor; Sequence (biology); Chloroplast; Population; DNA sequencing; Genetics; DNA; Gene; Genome; Geography","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":[0.0002829827,0.0003230433,0.0002310013,0.0007828593,0.0003824634,0.0003559632,0.0002313216,0.0002581124,0.001223433],"category_scores_gemma":[0.0005542414,0.000119577,0.0003909471,0.000725448,0.0003022518,0.0002379622,0.000198689,0.0004010757,0.0005927467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600805,"about_ca_system_score_gemma":0.0003760321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001867209,"about_ca_topic_score_gemma":0.003986965,"domain_scores_codex":[0.9998204,0.00002195229,0.00001758259,0.00007923973,0.00003353257,0.00002732481],"domain_scores_gemma":[0.9995733,0.0000890584,0.0001254279,0.00003727296,0.0001135023,0.00006129564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002477102,0.00002099732,0.01579826,0.0002824782,0.00004173374,0.0001365284,0.000296805,0.0003549363,0.9519692,0.0003453803,0.00005656686,0.03044929],"study_design_scores_gemma":[0.00006415805,0.0006710068,0.2115704,0.0001577991,0.0004394265,0.002436196,0.00123581,0.003625348,0.7427079,0.001160033,0.03587616,0.00005577769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774799,0.0012766,0.01384396,0.0001013901,0.0000443331,0.00007268045,0.002008965,0.00008171854,0.005090472],"genre_scores_gemma":[0.9676515,0.0005700531,0.02624287,0.00005542971,0.00001459941,0.00004651502,0.003057184,0.00002268116,0.002339174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001867209,"threshold_uncertainty_score":0.004092813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04306790923849615,"score_gpt":0.2323429443641034,"score_spread":0.1892750351256073,"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."}}