{"id":"W1996314726","doi":"10.1016/j.agsy.2004.09.007","title":"Economic and environmental analysis of sustainable farming practices – a Bavarian case study","year":2004,"lang":"en","type":"article","venue":"Agricultural Systems","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Agriculture; Profit maximization; Profit (economics); Maximization; Environmental impact assessment; Linear programming; Sustainability; Land use; Environmental science; Environmental resource management; Environmental economics; Natural resource economics; Computer science; Economics; Geography; Ecology","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":[0.000517467,0.0002418726,0.0002627897,0.001351275,0.0014629,0.001641103,0.0007364549,0.0007893505,0.001982861],"category_scores_gemma":[0.00141402,0.0001588448,0.0002615676,0.004900341,0.001181706,0.0006444652,0.0007669404,0.0004882007,0.0001264523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00888539,"about_ca_system_score_gemma":0.001656762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1757656,"about_ca_topic_score_gemma":0.2422845,"domain_scores_codex":[0.9994459,0.0002525921,0.00001426256,0.00003539207,0.0001165702,0.0001352749],"domain_scores_gemma":[0.9994308,0.0003459378,0.00007292353,0.00002887463,0.00007328103,0.00004811744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009522191,0.002957561,0.2640803,0.0005049306,0.0005818206,0.01482105,0.01023292,0.2918882,0.005005993,0.1979822,0.01200906,0.1989838],"study_design_scores_gemma":[0.0002045029,0.0003666762,0.5605849,0.0002109651,0.0003681856,0.002686442,0.04400184,0.2469608,0.004507897,0.0452249,0.09477671,0.0001062315],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821398,0.0003479926,0.0007694469,0.0004644523,0.000002614529,0.00001324227,0.0001921414,0.000008424195,0.01606198],"genre_scores_gemma":[0.9969941,0.0003656762,0.0008534396,0.00001779748,0.000002724389,0.00001005973,0.0001448971,0.000005317481,0.001605919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1757656,"threshold_uncertainty_score":0.349485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006389442067921161,"score_gpt":0.2162483151151458,"score_spread":0.2098588730472246,"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."}}