{"id":"W2982433167","doi":"10.1111/agec.12534","title":"Trade‐offs in the performance of alternative farming systems","year":2019,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agriculture; Sustainability; Livelihood; Organic farming; Food systems; Natural resource economics; Production (economics); Business; Intensive farming; Urban agriculture; Ecological farming; Scale (ratio); Economics; Integrated farming; Sustainable agriculture; Agricultural economics; Environmental economics; Food security; Geography; Ecology; Microeconomics","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":[0.007049115,0.000413259,0.000380937,0.001282551,0.0009076694,0.005289675,0.0009570422,0.001139609,0.006250493],"category_scores_gemma":[0.007082157,0.0001965491,0.0004932174,0.001310968,0.002423126,0.004014417,0.00258976,0.0006372739,0.000755397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002291427,"about_ca_system_score_gemma":0.0006964825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009506811,"about_ca_topic_score_gemma":0.001953315,"domain_scores_codex":[0.9952312,0.002464662,0.0002006243,0.0004140635,0.001042061,0.0006473711],"domain_scores_gemma":[0.9950648,0.002441139,0.0007884528,0.0004305137,0.0008768498,0.0003982795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001039608,0.0007094104,0.1266266,0.002756602,0.0009314914,0.001241544,0.003967229,0.08198557,0.03657034,0.3632475,0.00496861,0.3759556],"study_design_scores_gemma":[0.0001458447,0.004221525,0.2696452,0.001790199,0.0005015786,0.001738023,0.01450767,0.05060411,0.02436016,0.4315226,0.200616,0.0003470863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.817254,0.01205583,0.02344074,0.005013215,0.0001772936,0.0001325578,0.0002515754,0.00008698726,0.1415878],"genre_scores_gemma":[0.9938164,0.00139649,0.002972483,0.00009477916,0.00003359337,0.00002307322,0.00004825934,0.00001161331,0.001603313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007049115,"threshold_uncertainty_score":0.03727973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101268691118355,"score_gpt":0.1759883260355889,"score_spread":0.1649756391244054,"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."}}