{"id":"W2052963076","doi":"10.1016/j.jhydrol.2004.08.032","title":"Infiltration and soil water mixing on forested and harvested slopes during spring snowmelt, Turkey Lakes Watershed, central Ontario","year":2004,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Snowmelt; Infiltration (HVAC); Hydrology (agriculture); Watershed; Spring (device); Environmental science; Soil water; Surface runoff; Geology; Snow; Soil science; Geomorphology; Geography; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00008949122,0.0001234758,0.0001769225,0.0004039055,0.0009677768,0.0006683026,0.0002927671,0.0002344287,0.001003374],"category_scores_gemma":[0.0003390911,0.0001769957,0.0001673737,0.0006024704,0.0004334412,0.0003085398,0.0004373296,0.0001697717,0.0001564863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003385969,"about_ca_system_score_gemma":0.002743272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7426851,"about_ca_topic_score_gemma":0.9221905,"domain_scores_codex":[0.9998956,0.000008110132,0.000006535769,0.00002660803,0.00002258821,0.00004049806],"domain_scores_gemma":[0.9998511,0.00001856258,0.00003191007,0.000004797023,0.00004299493,0.00005051789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004641003,0.00005839796,0.9848321,0.00002108076,0.00003608773,0.0002493834,0.003696984,0.0003192563,0.006654254,0.00008463428,0.000255866,0.003327963],"study_design_scores_gemma":[0.000002906996,0.000009229205,0.9988469,0.000001975228,0.000004180354,0.00001171855,0.0007154312,0.0001664767,0.00008853318,0.000006447018,0.000144685,0.000001544139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994093,0.00001169528,0.00001346851,0.000007387056,5.601768e-7,0.000002435937,0.0001564188,0.000001651776,0.0003970794],"genre_scores_gemma":[0.9992549,0.00001602816,0.0000217523,0.00000400371,8.193089e-7,0.000002912864,0.0002278736,0.000001590647,0.0004699972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2573149,"threshold_uncertainty_score":0.5176604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074316475357827,"score_gpt":0.1823015338042816,"score_spread":0.1715583690507033,"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."}}