{"id":"W4321995974","doi":"10.5194/egusphere-egu23-10593","title":"Incorporating The Variable Contributing Area Concept in The HYPE Modelling Framework","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":"University of Saskatchewan; University of Calgary","funders":"","keywords":"Streamflow; Hydrology (agriculture); Structural basin; Environmental science; Terrain; Variable (mathematics); Surface runoff; Drainage basin; Fidelity; Geology; Geography; Computer science; Ecology; Geomorphology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004147601,0.0003867412,0.0003574641,0.0003163618,0.0002965808,0.0007526248,0.001113253,0.0005715267,0.001063627],"category_scores_gemma":[0.001263541,0.000337011,0.0006090161,0.0003521169,0.0004552851,0.001321064,0.00101589,0.0006997575,0.0001511798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002874339,"about_ca_system_score_gemma":0.0007197099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007408005,"about_ca_topic_score_gemma":0.007105401,"domain_scores_codex":[0.9998738,0.00004203758,0.00000909645,0.00002409474,0.00003483389,0.00001625774],"domain_scores_gemma":[0.9995669,0.0002048206,0.00004777298,0.00007106778,0.00007574576,0.00003372452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001681002,0.00001765981,0.001314805,0.00002177188,0.00002686789,0.00006003525,0.00003980033,0.9785549,0.001926644,0.007109632,0.0002064764,0.01070462],"study_design_scores_gemma":[0.000004115314,0.000005428202,0.0001253509,0.000001346236,0.000002915994,0.000008758355,0.000003630686,0.9978163,0.0002708791,0.001371928,0.0003861196,0.000003168366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08932324,0.0001431978,0.9058028,0.0002704052,0.00004445221,0.00007711053,0.0002472007,0.0008033263,0.003288271],"genre_scores_gemma":[0.7327013,0.0003043564,0.2641662,0.0001003084,0.00005710932,0.0001629377,0.0002406319,0.0001993486,0.002067765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007408005,"threshold_uncertainty_score":0.01472974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04352217454490463,"score_gpt":0.2494009733198793,"score_spread":0.2058787987749747,"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."}}