{"id":"W7162000033","doi":"10.82308/35634","title":"Scenarios and implications of land use and climate change on water quality in mesoscale agricultural watersheds","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Land use; Water quality; Land use, land-use change and forestry; Agricultural land; Hydrology (agriculture); Agriculture; Surface runoff; Surface water","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":[0.0006239185,0.0002859579,0.0003401739,0.0003320831,0.0005096304,0.001001501,0.0005631337,0.0006864141,0.000563602],"category_scores_gemma":[0.001261986,0.0001904745,0.0007399021,0.0007521756,0.0007108282,0.0005679186,0.0004874371,0.0003314236,0.00004063974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003350363,"about_ca_system_score_gemma":0.001119832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08063819,"about_ca_topic_score_gemma":0.07360246,"domain_scores_codex":[0.9996368,0.0001788752,0.00001583466,0.00005767603,0.00003487057,0.00007594447],"domain_scores_gemma":[0.9995577,0.0002148778,0.00004314239,0.00003770404,0.00007177633,0.00007486825],"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":[0.0004578458,0.0004457027,0.1307431,0.00004694671,0.0001963393,0.0004578188,0.0001561926,0.8559616,0.005039881,0.001512948,0.000389384,0.004592323],"study_design_scores_gemma":[0.000188987,0.0004744779,0.1757588,0.00000955975,0.0001254911,0.00005376901,0.0008970804,0.8176488,0.002413764,0.001556006,0.0008277346,0.00004562467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999052,0.00001308465,0.0003110674,0.00005159887,0.0000021257,0.00001541808,0.0001186471,0.0000124324,0.0004236006],"genre_scores_gemma":[0.999448,0.00001956647,0.0003168968,0.000007636604,7.663075e-7,0.00001348768,0.0001002168,0.000001900729,0.00009166674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08063819,"threshold_uncertainty_score":0.1603376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03309858001858183,"score_gpt":0.2761559696674646,"score_spread":0.2430573896488827,"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."}}