{"id":"W614786291","doi":"","title":"大豆花粉管通道技术转化雪花莲凝集素（GNA）基因","year":2006,"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":"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":[0.000639052,0.0007604481,0.0005630702,0.001157458,0.001098592,0.001692495,0.0005852571,0.0009122186,0.006111269],"category_scores_gemma":[0.00061944,0.0005689624,0.001179922,0.001256173,0.001332059,0.001733097,0.0006651154,0.001497171,0.003522421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207801,"about_ca_system_score_gemma":0.001564543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004592377,"about_ca_topic_score_gemma":0.00410617,"domain_scores_codex":[0.9990458,0.0001250214,0.00005556232,0.0003631343,0.0002686589,0.0001417895],"domain_scores_gemma":[0.9996332,0.00006513439,0.00004509938,0.00003558785,0.0001595638,0.00006151557],"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":[0.000421928,0.0001442162,0.01370317,0.0007503174,0.0002049359,0.0004905455,0.001116524,0.002323807,0.894918,0.01417568,0.002829534,0.06892135],"study_design_scores_gemma":[0.0001226199,0.0003810333,0.05412949,0.0001735274,0.0005377168,0.002072055,0.002711049,0.01359809,0.7988448,0.02111244,0.1060393,0.0002777303],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6660824,0.008631139,0.1783707,0.002778797,0.0007452387,0.0006642294,0.003093476,0.003770058,0.135864],"genre_scores_gemma":[0.866676,0.003052863,0.07499541,0.0008638096,0.00007922027,0.0003929134,0.002862564,0.0003840095,0.0506931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006111269,"threshold_uncertainty_score":0.02044421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006338524042042564,"score_gpt":0.2135339294508198,"score_spread":0.2071954054087773,"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."}}