{"id":"W4322001798","doi":"10.5194/egusphere-egu23-11988","title":"Identifying hydrological regularities via perceptual models at the regional scale","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Hydrograph; Scale (ratio); Streamflow; Surface runoff; Vegetation (pathology); Drainage basin; Hydrology (agriculture); Environmental science; Geology; Geography; Ecology; Cartography","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":[0.001104242,0.0004445151,0.0003875432,0.0008729168,0.0003665543,0.002212386,0.0008928244,0.0006142369,0.00199752],"category_scores_gemma":[0.004313205,0.0004157365,0.0011789,0.0005011721,0.001336784,0.002602782,0.001234565,0.0009507595,0.0002192568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291434,"about_ca_system_score_gemma":0.0006384827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00907685,"about_ca_topic_score_gemma":0.007675605,"domain_scores_codex":[0.9996306,0.0001415295,0.00001325204,0.0001224803,0.00004381684,0.00004836921],"domain_scores_gemma":[0.9985367,0.000731,0.000280809,0.0002051707,0.0001233916,0.0001228809],"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":[0.00009814814,0.0001149834,0.01067482,0.00007046689,0.00009505063,0.0001504442,0.0009790447,0.898522,0.006394066,0.06033938,0.0005471143,0.0220146],"study_design_scores_gemma":[0.000007153824,0.00003949988,0.003896653,0.000008528545,0.0000155033,0.00002400805,0.0001694371,0.9705714,0.000248439,0.02454729,0.0004552723,0.00001678376],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2967366,0.0001086557,0.6947114,0.0005482806,0.00002691393,0.0001101744,0.0002840236,0.0004057364,0.007068206],"genre_scores_gemma":[0.9497169,0.00006632874,0.04917695,0.00003742541,0.0000119718,0.00007233109,0.00009853439,0.00004031268,0.0007793048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00907685,"threshold_uncertainty_score":0.01804805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08047947188415275,"score_gpt":0.2640792044035669,"score_spread":0.1835997325194141,"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."}}