{"id":"W7037176617","doi":"","title":"An economic evaluation of the farm and off-farm effects of pesticide reduction research","year":2000,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economic evaluation; Reduction (mathematics); Economic analysis; Pesticide; Evaluation methods; Economic efficiency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00626878,0.0009453087,0.0008427849,0.004797122,0.001807872,0.003410535,0.001442441,0.001064482,0.009029098],"category_scores_gemma":[0.011322,0.0004292156,0.0009731598,0.005183651,0.001213718,0.0009600898,0.0009226552,0.0009172199,0.0004330107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06393126,"about_ca_system_score_gemma":0.07122234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8331073,"about_ca_topic_score_gemma":0.9156321,"domain_scores_codex":[0.9903583,0.003330122,0.0002170156,0.0002360391,0.004830217,0.00102835],"domain_scores_gemma":[0.9897573,0.004125792,0.0005327382,0.0003544144,0.004571083,0.0006586188],"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":[0.03412271,0.006290416,0.08317076,0.00511504,0.001362448,0.001063683,0.0005362403,0.09433577,0.007598001,0.07562672,0.1137721,0.5770061],"study_design_scores_gemma":[0.006104783,0.01534335,0.4613266,0.002404935,0.005763767,0.0006090233,0.006856677,0.1036277,0.01911742,0.01950738,0.3588361,0.0005022344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4187773,0.01645714,0.003493869,0.007967575,0.0003234792,0.004474966,0.02679725,0.0002036587,0.5215048],"genre_scores_gemma":[0.8802741,0.01095178,0.005322489,0.0009943671,0.0000912543,0.0005408271,0.005280742,0.00007176225,0.0964726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8331073,"threshold_uncertainty_score":0.4638559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00886914408850877,"score_gpt":0.2133650177617528,"score_spread":0.204495873673244,"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."}}