{"id":"W2898321029","doi":"10.1016/j.jhydrol.2018.10.050","title":"Optimization of the hydrodynamic characteristics of a karst conduit with CFPv2 coupled to OSTRICH","year":2018,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Karst Systems and Hydrogeology","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Shiraz University; University of Waterloo","keywords":"Aquifer; Hydrogeology; Karst; Geology; Electrical conduit; Sinkhole; Groundwater flow; Groundwater; Hydrology (agriculture); Spring (device); Groundwater discharge; Groundwater model; Flow (mathematics); Geotechnical engineering; Mechanics","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":[0.0002490829,0.0007622474,0.0007150897,0.0003339973,0.0006593623,0.0008732787,0.0009659372,0.001361462,0.003237945],"category_scores_gemma":[0.0004733676,0.0003233945,0.0005684285,0.000236589,0.000463301,0.0003662701,0.0005551256,0.0005641182,0.0002843905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006948846,"about_ca_system_score_gemma":0.001279689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02667383,"about_ca_topic_score_gemma":0.02350736,"domain_scores_codex":[0.9999009,0.00001574308,0.000002646994,0.00002186371,0.00001659855,0.00004224086],"domain_scores_gemma":[0.9997897,0.00007145391,0.00001864268,0.0000154489,0.00005083578,0.00005394673],"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":[0.0002000519,0.000183808,0.001634541,0.00005165581,0.00002871708,0.0002053575,0.00003199793,0.9776897,0.01323409,0.0005162968,0.0004730901,0.005750603],"study_design_scores_gemma":[0.00003195024,0.0001196574,0.0005733753,0.000002625729,0.0000118125,0.000007588471,0.00001479387,0.9974998,0.001505653,0.00004906567,0.0001755888,0.000008061424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646131,0.00009130141,0.02476351,0.000170113,0.00006302215,0.00005408187,0.0001235045,0.0005009677,0.009620424],"genre_scores_gemma":[0.9954776,0.00001518906,0.003210872,0.00001500829,0.000003940653,0.00001866526,0.00004697448,0.00002287383,0.001188852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02667383,"threshold_uncertainty_score":0.05303711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006117392332864611,"score_gpt":0.1927593878538505,"score_spread":0.1866419955209859,"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."}}