{"id":"W4306916546","doi":"10.3390/cleantechnol4040066","title":"Water Pollution and Agriculture Pesticide","year":2022,"lang":"en","type":"article","venue":"Clean Technologies","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Pesticide; Environmental science; Agriculture; Biopesticide; Environmental protection; Pollution; Pesticide application; Wastewater; Water pollution; Environmental engineering; Environmental chemistry; Chemistry; Agronomy; 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":[0.0003966935,0.0004230005,0.0003753584,0.001018804,0.0007153627,0.001769379,0.0003025404,0.001344628,0.008432364],"category_scores_gemma":[0.0006429061,0.0001110788,0.0002894209,0.001545187,0.001159554,0.0009017732,0.001194287,0.0007200076,0.0007695393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013949,"about_ca_system_score_gemma":0.001387394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005694897,"about_ca_topic_score_gemma":0.005508255,"domain_scores_codex":[0.999397,0.0001552102,0.00002757699,0.0001000062,0.0002110429,0.0001091677],"domain_scores_gemma":[0.9994302,0.0001348702,0.0002233383,0.00001609397,0.0001239058,0.00007151247],"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":[0.0003404098,0.0009318438,0.05797134,0.005039384,0.0003866834,0.002281702,0.001221554,0.00339643,0.02060242,0.1232535,0.07032892,0.7142458],"study_design_scores_gemma":[0.00003926425,0.0008984031,0.09802817,0.001189764,0.0001345224,0.001855293,0.002793472,0.0009211577,0.007336272,0.1007618,0.7859733,0.00006861482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09670999,0.6935267,0.003867058,0.04487498,0.001957787,0.0001072238,0.0006404052,0.0001122803,0.1582036],"genre_scores_gemma":[0.5430943,0.406538,0.001374932,0.01011543,0.001525943,0.00007084635,0.0003329208,0.00002178721,0.03692581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008432364,"threshold_uncertainty_score":0.02820903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00691535878685147,"score_gpt":0.1864959032558785,"score_spread":0.179580544469027,"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."}}