{"id":"W7039462884","doi":"","title":"Monitoring and modeling of runoff generating areas in a small agricultural watershed","year":2009,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Fossil Insects in Amber","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surface runoff; Watershed; Hydrology (agriculture); Runoff curve number; Runoff model; Water quality; Nonpoint source pollution","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":[0.00006765222,0.0002388961,0.0001289665,0.0002512476,0.0002146633,0.0003710912,0.0003837369,0.000221534,0.00041219],"category_scores_gemma":[0.0002853884,0.0001222522,0.0001568058,0.000400402,0.0002133092,0.0002107896,0.0001849261,0.00009686846,0.00004294425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078634,"about_ca_system_score_gemma":0.0006809735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1540963,"about_ca_topic_score_gemma":0.1305327,"domain_scores_codex":[0.9999521,0.0000047177,0.000002635625,0.00001967802,0.00001019092,0.000010727],"domain_scores_gemma":[0.9999408,0.00002259261,0.00001599328,0.000003101323,0.00001075694,0.000006872809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000712835,0.00006079932,0.04200496,0.00002650104,0.00001596501,0.0002487605,0.0001096745,0.9305479,0.01485405,0.0004250024,0.0001486752,0.01148645],"study_design_scores_gemma":[0.000004516238,0.00001348597,0.009718865,7.218493e-7,0.000004258564,0.00001260365,0.00003766219,0.9894131,0.0005261971,0.0001139067,0.0001523663,0.000002341515],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854697,0.00003439369,0.01301005,0.00004351395,0.000001687373,0.00002963562,0.0001990069,0.0001230506,0.001088959],"genre_scores_gemma":[0.9970605,0.00003813514,0.002345107,0.000001827073,0.000001143925,0.00001357602,0.00009153571,0.000003084332,0.000445156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1540963,"threshold_uncertainty_score":0.3063988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02726139432691936,"score_gpt":0.2116368998371224,"score_spread":0.184375505510203,"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."}}