{"id":"W966142736","doi":"","title":"F3＇5＇H基因与蓝色花的形成","year":2004,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Military Technology and Strategies","field":"Engineering","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":[0.000712279,0.0003719763,0.0002207924,0.0006682268,0.00250253,0.001737403,0.0006062467,0.001333001,0.02805121],"category_scores_gemma":[0.00079813,0.0001920509,0.0003881584,0.0006541973,0.002698053,0.002145968,0.0007431829,0.0008067222,0.00296599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002607408,"about_ca_system_score_gemma":0.002293092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223858,"about_ca_topic_score_gemma":0.01196376,"domain_scores_codex":[0.9996661,0.00005600691,0.000009895635,0.00005831973,0.00008626374,0.0001234529],"domain_scores_gemma":[0.999772,0.00006478867,0.00002550606,0.00001995204,0.00006865488,0.00004911927],"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":[0.0004548921,0.0001107963,0.003136247,0.0005306412,0.00005314432,0.001108297,0.006950353,0.001507035,0.03985823,0.7340578,0.02194535,0.1902872],"study_design_scores_gemma":[0.00007177603,0.0004233385,0.007629659,0.0002266762,0.00004822392,0.001031732,0.01315634,0.001387008,0.05488276,0.2662862,0.6547336,0.0001227398],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1811035,0.009873564,0.03307202,0.009943253,0.001457496,0.0001281095,0.000459799,0.0001863638,0.7637759],"genre_scores_gemma":[0.8593054,0.00349253,0.00995943,0.001568389,0.000159496,0.00008157663,0.0002536968,0.00005899945,0.1251205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02805121,"threshold_uncertainty_score":0.0938406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007813914532154322,"score_gpt":0.197710857649953,"score_spread":0.1898969431177987,"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."}}