{"id":"W1653456592","doi":"10.1029/2008wr007121","title":"Subsurface flow velocities in a hillslope with lateral preferential flow","year":2009,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary; Alberta Environment and Protected Areas","funders":"","keywords":"Surface runoff; Subsurface flow; Geology; Flow (mathematics); Storm; TRACER; Antecedent moisture; Flow velocity; Antecedent (behavioral psychology); Hydrology (agriculture); Soil science; Geotechnical engineering; Mechanics; Groundwater; Runoff curve number","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008379124,0.0001685331,0.0001907903,0.0001514065,0.0003340263,0.00008694412,0.0004029647,0.000079853,0.001498055],"category_scores_gemma":[0.00001038934,0.0001014636,0.00002964033,0.0002587097,0.000477303,0.0002101545,0.000431536,0.0003926401,0.0009129349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104263,"about_ca_system_score_gemma":0.000002792619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004976151,"about_ca_topic_score_gemma":0.000613604,"domain_scores_codex":[0.9975452,0.0002878316,0.0001762835,0.0004447405,0.0006320796,0.0009138919],"domain_scores_gemma":[0.9995903,0.00002997158,0.00001353121,0.0002705563,0.0000127871,0.00008289022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004290543,0.001135695,0.6011124,0.0001234957,0.0002478762,0.001015572,0.1748056,0.1439895,0.01440075,0.00007623816,0.02412393,0.03467832],"study_design_scores_gemma":[0.004747012,0.002545541,0.6011611,0.0001479754,0.00003266061,0.00002349904,0.001505104,0.02127933,0.02572005,0.005610652,0.3359463,0.001280858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732849,0.00002978221,0.0000210486,0.003096185,0.0000264577,0.0003098303,0.000002550918,0.00004476374,0.0231845],"genre_scores_gemma":[0.990249,0.00002982243,0.0004149123,0.0001780066,0.0000395786,0.0000319891,0.00001356949,0.00001254224,0.009030613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3118223,"threshold_uncertainty_score":0.999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02500298097477064,"score_gpt":0.2681009162895914,"score_spread":0.2430979353148207,"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."}}