{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008050353,0.0002264763,0.0001748784,0.0001030817,0.001790334,0.0002749962,0.0007971994,0.00008254481,0.0001997272],"category_scores_gemma":[0.0002898146,0.00009074224,0.0001306829,0.001326431,0.00128479,0.001653049,0.0002690097,0.00008291609,0.00008551015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008905477,"about_ca_system_score_gemma":0.00007658352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006497718,"about_ca_topic_score_gemma":0.0001672819,"domain_scores_codex":[0.9972505,0.000009008357,0.0002159678,0.0004610669,0.0005704605,0.001493015],"domain_scores_gemma":[0.998926,0.0001258639,0.0001126688,0.0001200749,0.00002359956,0.0006917681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002356177,0.0002643808,0.005545494,0.000004838107,0.000003238277,1.177975e-7,0.0007883249,0.00000494856,0.9634113,0.004043359,0.0004098372,0.02550063],"study_design_scores_gemma":[0.0005733345,0.0006225876,0.866016,0.00001717737,0.00002015457,0.00004412483,0.002475462,0.0001678211,0.0388381,0.002331809,0.08825597,0.0006374266],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933058,0.00009235543,0.000009471805,0.003603549,0.0001867696,0.0009138556,0.0006033215,0.00006155377,0.001223312],"genre_scores_gemma":[0.9958122,0.00005610748,0.0004062264,0.0009095249,0.001910503,0.000197228,0.00009677577,0.000002618058,0.0006088378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9245732,"threshold_uncertainty_score":0.9995092,"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."}}