{"id":"W2160603568","doi":"10.1093/forestry/cpi057","title":"The role of vegetation management for enhancing productivity of the world's forests","year":2005,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":310,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; University of Pittsburgh","keywords":"Vegetation (pathology); Pinus radiata; Productivity; Forest management; Geography; Agroforestry; Forestry; Yield (engineering); Eucalyptus; Environmental science; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002719454,0.00008909894,0.0001242666,0.0001562314,0.0002410145,0.00003530005,0.001349951,0.00003985349,0.00006520631],"category_scores_gemma":[0.0002649099,0.00005492412,0.0001370203,0.0002704431,0.0005506292,0.0005029888,0.0003862213,0.000260679,0.000008615688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002065606,"about_ca_system_score_gemma":0.00004544746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004667367,"about_ca_topic_score_gemma":0.01022829,"domain_scores_codex":[0.9977997,0.0001526838,0.000513059,0.0001588645,0.001104889,0.0002708267],"domain_scores_gemma":[0.9986342,0.0002921437,0.0004373762,0.0003040287,0.0002744152,0.00005788604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007945414,0.00058801,0.6600623,0.00004899223,0.0002576055,0.000005449664,0.0004412141,0.06171116,0.0009125175,0.2404155,0.001101126,0.03366157],"study_design_scores_gemma":[0.0004770245,0.0002689294,0.8712384,0.00007511611,0.00001954352,0.00001189975,0.0002010474,0.001884894,0.01383629,0.09228934,0.01963789,0.00005968765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906526,0.00007005761,0.0009117072,0.001225659,0.0003850562,0.0005204086,0.000003749165,0.000003254047,0.006227467],"genre_scores_gemma":[0.9971207,0.000027164,0.001267692,0.00001555749,0.0002409447,0.0000364421,0.000002146568,0.000009528764,0.001279845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.211176,"threshold_uncertainty_score":0.5707624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664503742520191,"score_gpt":0.3293074156561164,"score_spread":0.3126623782309145,"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."}}