{"id":"W2070527820","doi":"10.1016/j.envsci.2011.11.002","title":"Fertile ground? Options for a science–policy platform for land","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"FP7 International Cooperation; Economic and Social Research Council; Universität Hamburg","keywords":"Land degradation; Food security; Convention on Biological Diversity; Business; Ecosystem services; Land use; Environmental resource management; Climate change mitigation; Science policy; Environmental economics; Natural resource economics; Environmental planning; Agriculture; Climate change; Biodiversity; Ecosystem; Economics; Environmental science; Political science; Geography; Engineering; Ecology; Public administration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03225458,0.0008292157,0.0006032875,0.00194772,0.00557938,0.02252405,0.003754447,0.01531663,0.02694611],"category_scores_gemma":[0.01906837,0.0006078125,0.001100856,0.001877315,0.01769383,0.04319124,0.01688727,0.01267891,0.003409349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007796171,"about_ca_system_score_gemma":0.02586066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00167056,"about_ca_topic_score_gemma":0.001950017,"domain_scores_codex":[0.9861664,0.006124746,0.0006315151,0.00161138,0.003131132,0.002334947],"domain_scores_gemma":[0.9837695,0.006753686,0.001304481,0.00225323,0.002021601,0.003897541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001743612,0.00005523856,0.0001525776,0.0001076518,0.000005319315,0.00009984495,0.0007016141,0.0007674632,0.0003219453,0.9694672,0.007857492,0.0204462],"study_design_scores_gemma":[0.0000237584,0.0001007468,0.0003257831,0.0004619091,0.000009899818,0.00008853823,0.003555595,0.0009463344,0.0004303536,0.6815942,0.3124209,0.00004201879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02509576,0.008100546,0.0878252,0.6007755,0.003923146,0.0004099719,0.0002375829,0.0003114651,0.2733208],"genre_scores_gemma":[0.678785,0.0110992,0.137521,0.075945,0.003071719,0.001551634,0.0007626258,0.0003579711,0.09090586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03225458,"threshold_uncertainty_score":0.1705806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04491588054483754,"score_gpt":0.2939574258445368,"score_spread":0.2490415452996993,"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."}}