{"id":"W1526168438","doi":"","title":"全球挑战计划（The Generation Challenge Programme）——为资源贫乏地区培育植物多样性的全球性研发网络","year":2006,"lang":"zh","type":"article","venue":"分子植物育种","topic":"Family Business Performance and Succession","field":"Business, Management and Accounting","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":[0.01204674,0.0003854787,0.0003974244,0.0005509965,0.004102693,0.005079524,0.001488518,0.006120529,0.02127417],"category_scores_gemma":[0.01121281,0.0003423393,0.0004742,0.0005338361,0.003118864,0.002577582,0.006175947,0.006066322,0.002315072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004630764,"about_ca_system_score_gemma":0.01938781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01990886,"about_ca_topic_score_gemma":0.02714749,"domain_scores_codex":[0.9950033,0.002229572,0.0001003146,0.000339885,0.0007292373,0.001597718],"domain_scores_gemma":[0.9948931,0.001681779,0.0001864346,0.0003276761,0.0006242382,0.00228682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001080891,0.0008806657,0.009286,0.0002592821,0.00004469695,0.0005091787,0.01238472,0.001886918,0.001594368,0.4467936,0.4008212,0.1244585],"study_design_scores_gemma":[0.0002751856,0.0004645918,0.01813545,0.0002565594,0.00001655309,0.000123259,0.005225075,0.0005560649,0.001581846,0.03199567,0.9413002,0.00006961804],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1258055,0.003616571,0.005578895,0.2335273,0.00770829,0.001753731,0.001747097,0.0001606495,0.620102],"genre_scores_gemma":[0.430381,0.0008704316,0.004288161,0.03117463,0.001218664,0.002055016,0.0007628233,0.0001341564,0.5291152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02127417,"threshold_uncertainty_score":0.0711692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03399336106262775,"score_gpt":0.22451874247371,"score_spread":0.1905253814110823,"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."}}