{"id":"W2327732527","doi":"10.14796/jwmm.r206-11","title":"Environmental Modeling of a Claypan Watershed using HSPF","year":2000,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Environmental science; Computer science","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":[0.0001479568,0.0002608424,0.0002286959,0.0004000506,0.0004818244,0.0006362852,0.0005881761,0.0004779937,0.002036212],"category_scores_gemma":[0.0005206753,0.0001848563,0.0002724316,0.0006542644,0.0002967822,0.0005900852,0.0004531213,0.0002525701,0.0001464485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141162,"about_ca_system_score_gemma":0.0008956455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06507082,"about_ca_topic_score_gemma":0.0392049,"domain_scores_codex":[0.9998835,0.00003115881,0.000005819053,0.00002486762,0.00002296847,0.00003159473],"domain_scores_gemma":[0.9998586,0.00004796682,0.00001922696,0.00001222755,0.00003927544,0.00002262758],"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":[0.00003234715,0.00004970012,0.006243919,0.000009799853,0.000008727332,0.0001425186,0.00004996626,0.985292,0.0009725724,0.001253611,0.0003721056,0.00557276],"study_design_scores_gemma":[0.000008484016,0.00001355821,0.002193175,0.000001555676,0.000002795923,0.00001116665,0.0000205874,0.9966198,0.0002218718,0.00038982,0.0005127847,0.000004388623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9489907,0.00005719618,0.03880992,0.0001375961,0.000008769577,0.00005661981,0.001108827,0.0007309634,0.01009931],"genre_scores_gemma":[0.9914587,0.00004830168,0.006203789,0.00001143359,0.000004426883,0.00003673929,0.0004392892,0.00002394104,0.001773456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06507082,"threshold_uncertainty_score":0.1293841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126711376099511,"score_gpt":0.2158003449865761,"score_spread":0.194533231225581,"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."}}