{"id":"W2997957461","doi":"","title":"A Race Against Time: Legacy Effects of Land Use on Water Quality, Watershed Processes, and Ecosystem Function II Posters","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting 2019","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Watershed; Race (biology); Ecosystem; Quality (philosophy); Water quality; Function (biology); Environmental resource management; Environmental science; Ecology; Biology; Computer science","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":[0.00222667,0.0007024314,0.0004290869,0.0005335601,0.001812119,0.004061289,0.000609707,0.001801686,0.05524069],"category_scores_gemma":[0.003047355,0.0002405023,0.0005932186,0.0004440511,0.001081013,0.002205638,0.00187793,0.004254999,0.005545727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683998,"about_ca_system_score_gemma":0.001041729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003766373,"about_ca_topic_score_gemma":0.01431786,"domain_scores_codex":[0.9997163,0.00006484174,0.000009491548,0.0001062408,0.00005537863,0.00004758518],"domain_scores_gemma":[0.9986464,0.0005271213,0.0000574005,0.00007367988,0.0002652968,0.0004300963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008221652,0.0001304325,0.002431585,0.0001797939,0.0000615783,0.0001934799,0.0006212018,0.0002944821,0.002766914,0.01097545,0.8855309,0.09599194],"study_design_scores_gemma":[0.0002354844,0.0003414893,0.05365313,0.001000546,0.0001723035,0.0003566862,0.004801163,0.001654775,0.003255085,0.07317714,0.8612214,0.0001308183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.04017675,0.03888387,0.004599405,0.6303411,0.1639647,0.0001146941,0.001996682,0.0002907868,0.1196321],"genre_scores_gemma":[0.2723146,0.03246408,0.005133797,0.05622455,0.1593737,0.0003225082,0.00168306,0.0005211125,0.4719625],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05524069,"threshold_uncertainty_score":0.1847985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005718954650339845,"score_gpt":0.1959943103286698,"score_spread":0.1902753556783299,"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."}}