{"id":"W4313463483","doi":"10.1016/j.scitotenv.2022.161282","title":"Farmer advisory systems and pesticide use in legume-based systems in West Africa","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"United States Agency for International Development","keywords":"Productivity; Business; Agriculture; Pesticide; Context (archaeology); Agricultural productivity; Production (economics); Agricultural economics; Natural resource economics; Agricultural science; Geography; Economic growth; Economics; Environmental science; Ecology; Biology","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":[0.0004592588,0.0002209986,0.0002267437,0.0008363166,0.0005866868,0.000795435,0.0003720719,0.0003270931,0.002963719],"category_scores_gemma":[0.002328987,0.0001887492,0.0002319744,0.001913738,0.0002861242,0.0006625945,0.0007299477,0.0004477422,0.0003205042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009736959,"about_ca_system_score_gemma":0.0006104591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06403722,"about_ca_topic_score_gemma":0.09985257,"domain_scores_codex":[0.9995365,0.0001482005,0.00004228539,0.00009114518,0.00005349311,0.0001283313],"domain_scores_gemma":[0.997202,0.0005455111,0.001784981,0.00006936368,0.0001399887,0.0002580454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004809242,0.0000783892,0.9931067,0.00005326616,0.00003352615,0.0002257537,0.001644492,0.0001088395,0.0002372096,0.0001154621,0.000399585,0.003948708],"study_design_scores_gemma":[0.000005017127,0.0000480311,0.99384,0.0000542105,0.00001825448,0.0001167469,0.004239392,0.0002410258,0.00009917133,0.00006337813,0.001269593,0.000005301952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982735,0.0002547965,0.00005680715,0.0001224319,0.000001887971,0.000009111699,0.0008126326,0.000001587004,0.0004672517],"genre_scores_gemma":[0.9984963,0.0003413396,0.0001125184,0.00003725525,0.000002805352,0.00001604882,0.0006309426,0.000001367824,0.0003613945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06403722,"threshold_uncertainty_score":0.1273289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03963209304670407,"score_gpt":0.2181387229431694,"score_spread":0.1785066298964653,"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."}}