{"id":"W2469725557","doi":"10.1007/s00267-016-0720-4","title":"Farmers’ Preferences for Future Agricultural Land Use Under the Consideration of Climate Change","year":2016,"lang":"en","type":"article","venue":"Environmental Management","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Klima- und Energiefonds","keywords":"Climate change; Incentive; Agriculture; Natural resource economics; Cash crop; Ecosystem services; Land use, land-use change and forestry; Business; Land use; Tourism; Environmental resource management; Agroforestry; Geography; Economics; Ecosystem; Ecology; Environmental science","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":[0.00193603,0.0001397493,0.0002695293,0.0001524431,0.0002944921,0.001169163,0.0001498926,0.0006292519,0.002161637],"category_scores_gemma":[0.004317307,0.000118532,0.0002523407,0.0001726517,0.0005636184,0.0006015741,0.0003060954,0.0004044067,0.0002195306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005228028,"about_ca_system_score_gemma":0.0001945319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243417,"about_ca_topic_score_gemma":0.002355547,"domain_scores_codex":[0.9991386,0.0005318667,0.00003428504,0.00009563322,0.00008379484,0.0001156658],"domain_scores_gemma":[0.9973816,0.001773484,0.0004950983,0.0001141737,0.00007475629,0.0001608728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007890897,0.003482452,0.8117611,0.0001918747,0.0003836691,0.001369835,0.009560212,0.04777659,0.05415699,0.006272498,0.001065371,0.0560885],"study_design_scores_gemma":[0.000457178,0.003180401,0.9228548,0.00004442591,0.0001633731,0.0003197046,0.01650291,0.04105681,0.004192412,0.008280175,0.002858006,0.00008973449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995854,0.000009637109,0.00008337451,0.00002774499,9.531388e-7,0.000002004477,0.000006856307,4.049855e-7,0.0002835419],"genre_scores_gemma":[0.9997578,0.00001567098,0.00008132446,0.00001054248,0.000001282545,0.000004248193,0.00001034801,2.707796e-7,0.0001185108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002161637,"threshold_uncertainty_score":0.01023883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0932347708029075,"score_gpt":0.1998001351672885,"score_spread":0.106565364364381,"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."}}