{"id":"W4321996490","doi":"10.5194/egusphere-egu23-10527","title":"Improving the science and practice of hydrological modelling","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":"Saskatchewan Health; Saskatchewan Disease Control Laboratory; University of Saskatchewan","funders":"","keywords":"Computer science; Workflow; Data science; Presentation (obstetrics); Robustness (evolution); Process (computing); Forcing (mathematics); Hydrometeorology; Management science; Geography; Engineering","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":[0.055027,0.00114571,0.001562578,0.003463137,0.001899233,0.0118557,0.004339439,0.006140789,0.00887611],"category_scores_gemma":[0.1558525,0.001016765,0.001932356,0.005060305,0.009637506,0.02370259,0.01138632,0.015944,0.005934677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004942366,"about_ca_system_score_gemma":0.01568779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005509285,"about_ca_topic_score_gemma":0.002632734,"domain_scores_codex":[0.9537405,0.02310667,0.002761102,0.003634907,0.01582784,0.0009290247],"domain_scores_gemma":[0.8583554,0.07399044,0.00353616,0.04490376,0.01598617,0.003228076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002921214,0.0001707966,0.002253933,0.0009107596,0.0001198839,0.0000945519,0.001438238,0.02599188,0.001221472,0.602079,0.1051032,0.260587],"study_design_scores_gemma":[0.00002323565,0.00001643401,0.0005738529,0.000758406,0.00001674172,0.00004931687,0.0004078904,0.02620258,0.0008258431,0.6354955,0.3355782,0.00005192701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005028917,0.01215776,0.7684674,0.1658942,0.004560344,0.0001616673,0.0007439646,0.004861281,0.03812457],"genre_scores_gemma":[0.1218312,0.05281884,0.7894167,0.01456657,0.006936741,0.0005228155,0.002057754,0.003938518,0.007910875],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.055027,"threshold_uncertainty_score":0.2910141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05080442578148726,"score_gpt":0.2677915919686026,"score_spread":0.2169871661871153,"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."}}