{"id":"W1039371246","doi":"","title":"人工合成小麦HMW-GS D t x1.5 亚基的AS-PCR鉴定程序优化及遗传分析","year":2014,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry","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":[0.001616329,0.001638195,0.001298761,0.001441062,0.001268447,0.002304734,0.0009627755,0.001463124,0.006959375],"category_scores_gemma":[0.001300371,0.001717443,0.001522519,0.001352789,0.001845508,0.001878779,0.0008476098,0.003286195,0.005139282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810002,"about_ca_system_score_gemma":0.001682869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002116878,"about_ca_topic_score_gemma":0.003427538,"domain_scores_codex":[0.9974694,0.000421647,0.0002446497,0.001119358,0.0004580829,0.0002870111],"domain_scores_gemma":[0.9991999,0.0002529662,0.0001766154,0.00009112752,0.0001908892,0.00008845263],"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":[0.000568843,0.0001025587,0.002660875,0.001318119,0.00008542908,0.0005392826,0.001267918,0.001278551,0.9477627,0.006398242,0.002859947,0.03515751],"study_design_scores_gemma":[0.00008297177,0.0003389733,0.0065876,0.0001785712,0.0003269492,0.0009862644,0.0009182465,0.004348029,0.9096274,0.00281268,0.07362083,0.0001715193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4027763,0.007830029,0.5032911,0.002378682,0.00161417,0.002174211,0.01246593,0.004942649,0.06252694],"genre_scores_gemma":[0.4474103,0.005074025,0.4307202,0.001555347,0.0002503706,0.002305178,0.01992215,0.002042637,0.09071988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006959375,"threshold_uncertainty_score":0.02328146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007936484955298537,"score_gpt":0.2212104370178895,"score_spread":0.213273952062591,"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."}}