{"id":"W4400475738","doi":"10.1002/hyp.15238","title":"Fill‐spill‐merge terrain analysis reveals topographical controls on Canadian river runoff","year":2024,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surface runoff; Hydrology (agriculture); Digital elevation model; Bedrock; Watershed; Terrain; Drainage basin; Geology; Streamflow; Environmental science; Drainage; Geomorphology; Remote sensing; Geography; Cartography","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":[0.0001550238,0.0001830841,0.000136967,0.0007371907,0.0004332819,0.0004810356,0.0002974694,0.0001381147,0.0008673138],"category_scores_gemma":[0.0006818557,0.0001088855,0.0002271733,0.0009620159,0.0002960392,0.0001691715,0.0002594898,0.0001603249,0.00008417822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004549391,"about_ca_system_score_gemma":0.002802889,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8820529,"about_ca_topic_score_gemma":0.9361206,"domain_scores_codex":[0.9999071,0.000006531919,0.000002821256,0.00002531929,0.00002497413,0.00003317131],"domain_scores_gemma":[0.9998028,0.0000293671,0.00002309927,0.00002323479,0.00008942954,0.00003210115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003468165,0.0000927846,0.6617568,0.00004481548,0.0001154075,0.0002112554,0.000469437,0.2388482,0.01358994,0.002117635,0.003919066,0.07848796],"study_design_scores_gemma":[0.00001631002,0.00001732743,0.6984673,0.000007574623,0.0000267837,0.00004467696,0.0003565632,0.2953669,0.002922937,0.0002257942,0.002523049,0.0000248973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970777,0.00002243291,0.0007612299,0.0000355905,0.000001615433,0.000005061298,0.0009093714,0.0001153535,0.001071651],"genre_scores_gemma":[0.9979042,0.00001413869,0.001075218,0.000005919864,5.10447e-7,0.000001890845,0.0007796125,0.00001002289,0.0002085252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1179471,"threshold_uncertainty_score":0.2372834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122374479031304,"score_gpt":0.2336595967697068,"score_spread":0.2224358519793938,"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."}}