{"id":"W3094409592","doi":"10.5194/hess-25-527-2021","title":"A history of TOPMODEL","year":2021,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Environment Research Council; Sight Research UK; Global Water Futures; University of Saskatchewan","keywords":"Terrain; Calibration; Hydrology (agriculture); Simple (philosophy); Computer science; Environmental science; Geology; Mathematics; Epistemology; Geography; Statistics; Cartography; Philosophy; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003867962,0.00006231209,0.0001439929,0.00002584616,0.0001273062,0.000002824749,0.00009685115,0.00004591081,0.0004349998],"category_scores_gemma":[0.00001398895,0.00005004218,0.0000226966,0.00009113216,0.001075678,0.00009445853,0.0001709483,0.00004022712,0.00008461813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001775247,"about_ca_system_score_gemma":0.00001562822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007563829,"about_ca_topic_score_gemma":0.00005613316,"domain_scores_codex":[0.999263,0.00008329235,0.00012966,0.0002488685,0.0001042232,0.0001709729],"domain_scores_gemma":[0.999776,0.00004298714,0.00005084791,0.00009588015,0.000004162877,0.00003012129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008136775,0.0002122544,0.8771796,0.0003715641,0.0001607257,0.0002879252,0.009006306,0.01521279,0.01123607,0.06076221,0.0181267,0.007362491],"study_design_scores_gemma":[0.002751445,0.001694888,0.3242823,0.0001760062,0.0003056636,0.0007291372,0.00575134,0.2926787,0.005351962,0.008615988,0.356157,0.001505523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.778215,0.0007573462,0.0001939701,0.0004919019,0.0002875253,0.00004549293,6.227472e-7,0.0000207869,0.2199874],"genre_scores_gemma":[0.9957546,0.00004043462,0.0003267553,0.0002888967,0.000009673716,0.000004374664,3.897212e-7,0.000001384405,0.003573518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5528973,"threshold_uncertainty_score":0.4762943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693408010044529,"score_gpt":0.197860749234162,"score_spread":0.1809266691337167,"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."}}