{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007802455,0.0001081006,0.00009745034,0.0000238976,0.0005595543,0.00001258904,0.0001864014,0.00003958077,0.001805976],"category_scores_gemma":[0.0000196608,0.00007353997,0.00002310175,0.00009790567,0.0003678487,0.00007886648,0.001604283,0.0001860078,0.0001574757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001483439,"about_ca_system_score_gemma":6.296972e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001189535,"about_ca_topic_score_gemma":0.00005353117,"domain_scores_codex":[0.9992338,0.00001658922,0.0000963208,0.0002425107,0.0001693727,0.0002414268],"domain_scores_gemma":[0.9998034,0.00001011573,0.00002506343,0.0001417661,7.606019e-7,0.00001892435],"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":[0.0000435423,0.0002201817,0.1960522,0.00001431424,0.00004382913,0.0001121834,0.001361802,0.00317882,0.4021844,0.001621983,0.05812352,0.3370433],"study_design_scores_gemma":[0.0005297228,0.0005768506,0.6413159,0.000007419665,0.0000579481,0.0001898037,0.03550936,0.0001396578,0.1402132,0.03163287,0.1490911,0.0007362417],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916004,0.0002533836,0.00005734458,0.002720604,0.00004659437,0.0001220219,0.000006135382,0.0004153052,0.004778218],"genre_scores_gemma":[0.9985249,0.00007947408,0.0003538173,0.0002320401,0.000006649544,0.00005317528,0.000005361709,0.000007101523,0.0007374876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4452636,"threshold_uncertainty_score":0.9991065,"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."}}