{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005658435,0.0008581369,0.0009952722,0.001724102,0.001215823,0.007376586,0.004036204,0.001936229,0.01502263],"category_scores_gemma":[0.01184401,0.0008737197,0.00146809,0.004311643,0.003059576,0.009929464,0.004493461,0.006923616,0.005162767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003251105,"about_ca_system_score_gemma":0.005244652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01082601,"about_ca_topic_score_gemma":0.003980084,"domain_scores_codex":[0.9973152,0.0009434445,0.0001472188,0.0003978079,0.001036536,0.0001598262],"domain_scores_gemma":[0.9925513,0.003268929,0.0001972627,0.001837599,0.001642001,0.0005029259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001061504,0.0000733179,0.001675733,0.0005344188,0.0001822698,0.0001513394,0.0004039845,0.07670495,0.0004754679,0.4869511,0.12345,0.3092913],"study_design_scores_gemma":[0.0000276378,0.0000391945,0.0004017139,0.0005854828,0.00005070327,0.0001170378,0.0001222185,0.1041864,0.00084376,0.2643237,0.6292278,0.00007456786],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004184253,0.01886298,0.8297806,0.02791177,0.003718681,0.0001255527,0.003076792,0.01080793,0.1015315],"genre_scores_gemma":[0.2383824,0.06597052,0.6158018,0.01429447,0.005772527,0.0008757566,0.01164903,0.01212232,0.03513127],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01502263,"threshold_uncertainty_score":0.05025572,"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."}}