{"id":"W2131011737","doi":"10.1186/2048-7010-2-2","title":"Landscape diversity and the resilience of agricultural returns: a portfolio analysis of land-use patterns and economic returns from lowland agriculture","year":2013,"lang":"en","type":"article","venue":"Agriculture & Food Security","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Environment Research Council; Economic and Social Research Council","keywords":"Agriculture; Agricultural land; Volatility (finance); Portfolio; Market integration; Land use; Psychological resilience; Agricultural economics; Economics; Natural resource economics; Geography; Business; Ecology; Financial economics","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":[0.001099648,0.0002982489,0.0003299428,0.001523515,0.0002548431,0.001294615,0.0003644399,0.0004794839,0.001111628],"category_scores_gemma":[0.004924173,0.0001870656,0.0007570079,0.00165077,0.0005446749,0.001041907,0.0009679436,0.0004467351,0.0002093419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006891323,"about_ca_system_score_gemma":0.0002092802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007164478,"about_ca_topic_score_gemma":0.006332645,"domain_scores_codex":[0.999571,0.000165718,0.00004199376,0.00009579778,0.00005522613,0.00007035716],"domain_scores_gemma":[0.9963792,0.001423825,0.001266647,0.0003396236,0.0002125643,0.0003780564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008486856,0.0000360231,0.982926,0.00001107857,0.0002475769,0.0002650182,0.0001710907,0.0109078,0.0008717376,0.0004388218,0.00008724549,0.003952676],"study_design_scores_gemma":[0.000003945573,0.00007617953,0.9588686,0.000005321707,0.00003841409,0.0001604743,0.0001892541,0.03936113,0.0001898532,0.0009477265,0.0001449681,0.0000140473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991186,0.00003918511,0.0005715147,0.0000304546,8.057319e-7,0.000002984746,0.0000972194,0.000005264675,0.0001338398],"genre_scores_gemma":[0.999657,0.00001735474,0.0001751963,0.00000272202,0.000001473152,0.000001633348,0.0000970394,0.000001512551,0.00004607022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007164478,"threshold_uncertainty_score":0.01424557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004342081484498653,"score_gpt":0.1640543514853976,"score_spread":0.159712270000899,"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."}}