{"id":"W7162146154","doi":"10.82308/18629","title":"Computer models for simulating pesticide fate and transport in soil","year":2002,"lang":"en","type":"dissertation","venue":"","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mars Exploration Program; Multivariate adaptive regression splines; Field (mathematics); Pesticide; Hydrology (agriculture); Metribuzin; Mathematical model; Statistical model; Component (thermodynamics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000425859,0.0004166502,0.0004435211,0.0004248423,0.0002918808,0.0007944687,0.0008814999,0.0007583943,0.001592733],"category_scores_gemma":[0.001748037,0.0002887452,0.0005226486,0.001030692,0.0003105436,0.0008832138,0.0003542936,0.0006537408,0.0003622891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007469414,"about_ca_system_score_gemma":0.001081878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01344182,"about_ca_topic_score_gemma":0.01309064,"domain_scores_codex":[0.9998335,0.0000511175,0.00001267995,0.00002854649,0.00005972162,0.00001450909],"domain_scores_gemma":[0.9991955,0.0005737165,0.00005883239,0.00005597755,0.00009861106,0.00001736354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001654863,0.0000232702,0.0009322265,0.00004249653,0.00001620597,0.0000287285,0.00003335219,0.9780466,0.001229426,0.01235213,0.0004226674,0.006856334],"study_design_scores_gemma":[0.00001182611,0.00001205273,0.0001305999,0.000003153792,0.000006049782,0.000009241741,0.000006644804,0.9945953,0.0004209869,0.002916083,0.001884776,0.000003247251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1616746,0.00116301,0.8150915,0.0005803489,0.00008880015,0.0001939857,0.001812027,0.001326594,0.01806909],"genre_scores_gemma":[0.7511421,0.003061268,0.2268204,0.0001114718,0.00005521213,0.0007715048,0.001708756,0.0001663963,0.0161628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01344182,"threshold_uncertainty_score":0.0267272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02002448439227622,"score_gpt":0.2461699915720257,"score_spread":0.2261455071797494,"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."}}