{"id":"W1217178722","doi":"","title":"普通小麦HMW-GS Dx5 与 Dx2 亚基共显性标记","year":2014,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; 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":[0.0003818792,0.0004083823,0.0002235148,0.0004878322,0.0006370789,0.00104372,0.0002758116,0.0003999302,0.006507823],"category_scores_gemma":[0.0002811543,0.0003106846,0.0002996018,0.0005819499,0.0008150145,0.0008291636,0.0003459182,0.0006807409,0.0008945278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625935,"about_ca_system_score_gemma":0.0006478254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004933624,"about_ca_topic_score_gemma":0.004925807,"domain_scores_codex":[0.9997239,0.00004349455,0.00001706601,0.0001183206,0.00006075589,0.00003644789],"domain_scores_gemma":[0.9998347,0.00004189805,0.00003319903,0.000018859,0.00003926873,0.00003210288],"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":[0.0003901652,0.00005309843,0.009967912,0.000283911,0.00007225008,0.0004423626,0.001119044,0.001298901,0.9302772,0.01709701,0.0006445115,0.03835366],"study_design_scores_gemma":[0.00006016126,0.0003272279,0.05830018,0.00004773752,0.0001603872,0.0009113443,0.001786985,0.002826171,0.8834991,0.006518739,0.04549309,0.0000688828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9238218,0.001603106,0.0389366,0.0005077944,0.0001207941,0.0001369662,0.001073129,0.0002773404,0.03352236],"genre_scores_gemma":[0.9442891,0.0005310813,0.02113987,0.0001779887,0.00001884379,0.00004949577,0.0008281745,0.00006651777,0.03289888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006507823,"threshold_uncertainty_score":0.02177083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04170985770989376,"score_gpt":0.2626058201473457,"score_spread":0.220895962437452,"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."}}