{"id":"W2796171069","doi":"10.11159/awspt18.133","title":"Lysimeter Leaching Study of Cyantraniliprole","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lysimeter; Leaching (pedology); Environmental science; Soil science; Soil water","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":[0.0002216487,0.0002162824,0.0002434041,0.0002587052,0.0002309104,0.0003576853,0.0002746746,0.000244738,0.001353798],"category_scores_gemma":[0.0002576551,0.00007979756,0.0001588657,0.0003816008,0.0001381765,0.0002196298,0.0001801903,0.0003218002,0.0002928555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002822477,"about_ca_system_score_gemma":0.0003783121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00369091,"about_ca_topic_score_gemma":0.003485787,"domain_scores_codex":[0.9997037,0.00003023304,0.00002488535,0.00007243309,0.000113057,0.00005564819],"domain_scores_gemma":[0.9998521,0.00002704551,0.00003032133,0.0000124801,0.00006442908,0.00001367898],"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":[0.0005213072,0.00007883589,0.00208907,0.000152117,0.00002673729,0.0001399376,0.0001012379,0.001422619,0.9866403,0.000251657,0.000245642,0.008330657],"study_design_scores_gemma":[0.00001504323,0.0005785307,0.003205739,0.00001130284,0.00002278311,0.00008148089,0.0001091923,0.003919167,0.9894333,0.00006533688,0.002543062,0.00001498066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890883,0.001497431,0.003969504,0.0000957967,0.00003575447,0.00004267717,0.001228676,0.00008638596,0.003955496],"genre_scores_gemma":[0.9908327,0.001407911,0.00299581,0.00003419158,0.00000617328,0.00002454453,0.0005511501,0.00001746928,0.004130029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00369091,"threshold_uncertainty_score":0.007338822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003579626088187915,"score_gpt":0.1738034469005072,"score_spread":0.1702238208123193,"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."}}