{"id":"W2154878765","doi":"10.1007/s10980-012-9802-8","title":"Landscape agronomy: a new field for addressing agricultural landscape dynamics","year":2012,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":136,"is_retracted":false,"has_abstract":false,"ca_institutions":"ASTER","funders":"","keywords":"Agriculture; Landscape assessment; Landscape ecology; Field (mathematics); Geography; Environmental resource management; Agroforestry; Landscape design; Ecology; Environmental science; Habitat; Biology; Mathematics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002284904,0.0002280338,0.0003237709,0.0000409814,0.000231349,0.00006291338,0.0002927532,0.0002435556,0.007789758],"category_scores_gemma":[0.000031508,0.0001592053,0.0001194188,0.0001566473,0.000009985562,0.0004337978,0.0001742288,0.0001329244,0.0008180417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000586503,"about_ca_system_score_gemma":0.00001813695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001336113,"about_ca_topic_score_gemma":0.006477561,"domain_scores_codex":[0.9984673,0.00004578564,0.0002765545,0.0003167159,0.000123967,0.000769624],"domain_scores_gemma":[0.9990951,0.0002463191,0.0001381308,0.000232638,0.00001041648,0.0002773741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004983171,0.00006964104,0.887956,0.00003074806,0.00003715754,0.000001898623,0.000427618,0.0003256597,0.00004975686,0.0001204989,0.1089903,0.001940977],"study_design_scores_gemma":[0.002839671,0.0004027192,0.9140036,0.00004441992,0.0001664547,0.00006477143,0.001246709,0.01708303,0.0003493192,0.0004566236,0.06246137,0.0008812951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631591,0.0003500048,0.0002461021,0.001232076,0.0008991413,0.0003522442,0.00001941012,0.00009662649,0.03364531],"genre_scores_gemma":[0.9960188,0.00002367782,0.0008243635,0.0006307571,0.0008182921,0.00006489341,0.0001606307,0.00002146374,0.001437112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04652891,"threshold_uncertainty_score":0.9999599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01260681192421293,"score_gpt":0.2289092452793142,"score_spread":0.2163024333551013,"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."}}