{"id":"W3095077405","doi":"10.1029/2020wr027721","title":"Modeling Water Quality in Watersheds: From Here to the Next Generation","year":2020,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"South Bruce Grey Health Centre","funders":"Sandia National Laboratories","keywords":"Water quality; Environmental science; Quality (philosophy); Hydrology (agriculture); Water resource management; Geology; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005431606,0.0006730703,0.001104607,0.00110226,0.0008917252,0.006903087,0.002250352,0.002067343,0.006058231],"category_scores_gemma":[0.009236071,0.0004139752,0.001197305,0.001878553,0.002295819,0.01428196,0.003048384,0.002974207,0.0006604141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002489568,"about_ca_system_score_gemma":0.003659048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007594547,"about_ca_topic_score_gemma":0.01220165,"domain_scores_codex":[0.9987106,0.0006613685,0.0001000327,0.0001904258,0.0002450469,0.00009255519],"domain_scores_gemma":[0.9956074,0.002454551,0.0003286499,0.0005766517,0.0007603223,0.0002723725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009034738,0.0002181528,0.02153136,0.002539505,0.0002092627,0.0002650332,0.001845666,0.08924504,0.002638706,0.546391,0.0150879,0.319938],"study_design_scores_gemma":[0.00002418988,0.0002539371,0.005361955,0.004117895,0.0002188161,0.0001763672,0.004868797,0.1604921,0.002846612,0.4941451,0.327357,0.0001372302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0506832,0.1366218,0.5862588,0.169776,0.003477407,0.0002163106,0.0006969076,0.0008534273,0.05141611],"genre_scores_gemma":[0.4620476,0.2685224,0.2458771,0.009585354,0.002571412,0.0004585839,0.0005482698,0.0004765816,0.009912503],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007594547,"threshold_uncertainty_score":0.02872545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2042302202553022,"score_gpt":0.3422405631149539,"score_spread":0.1380103428596516,"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."}}