{"id":"W2951725753","doi":"10.1016/j.envsci.2019.05.027","title":"Misunderstanding conservation agriculture: Challenges in promoting, monitoring and evaluating sustainable farming","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; International Development Research Centre","keywords":"Agriculture; Sustainability; Business; Conservation agriculture; Promotion (chess); Incentive; Climate change; Environmental resource management; Productivity; Sustainable agriculture; Natural resource economics; Agricultural productivity; Climate change mitigation; Environmental economics; Environmental planning; Environmental science; Economics; Geography; Economic growth; Ecology; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000872121,0.0001263035,0.0001072074,0.00004373477,0.0004681856,0.0001712722,0.0001838309,0.00005100209,0.00008470683],"category_scores_gemma":[0.0001030985,0.00005264865,0.00001905193,0.0007506401,0.0001351221,0.001190153,0.0001660355,0.0001298089,0.00001508249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003012334,"about_ca_system_score_gemma":0.00001509567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008201196,"about_ca_topic_score_gemma":0.00005232832,"domain_scores_codex":[0.9986058,0.00004929833,0.0001885014,0.0003824401,0.000347677,0.0004262878],"domain_scores_gemma":[0.9996173,0.0001117444,0.0001353692,0.00004455294,0.0000163821,0.0000746688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000004023826,0.0000355238,0.09808952,0.000009122963,0.00000165934,0.00000155966,0.001271968,0.00001008135,0.8650126,0.002098648,0.000003660274,0.03346163],"study_design_scores_gemma":[0.0001419436,0.00018605,0.9435461,0.00004417063,0.00000328491,0.00001733294,0.0378473,0.0001977102,0.01459865,0.0005685622,0.002633754,0.0002152137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99347,0.0004435154,1.906956e-7,0.003397598,0.0000415452,0.0003186035,0.000001657856,0.00002250208,0.002304424],"genre_scores_gemma":[0.9988629,0.0003304617,0.0001115415,0.00005740295,0.0001402507,0.00001431653,0.000005484161,8.032887e-7,0.0004768925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.850414,"threshold_uncertainty_score":0.3600953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05897867586244503,"score_gpt":0.2964661864490936,"score_spread":0.2374875105866486,"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."}}