{"id":"W4308563904","doi":"10.5194/hess-26-5431-2022","title":"Karst spring recession and classification: efficient, automated methods for both fast- and slow-flow components","year":2022,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Karst Systems and Hydrogeology","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Deutsche Forschungsgemeinschaft","keywords":"Hydrograph; Recession; Karst; Extraction (chemistry); Computer science; Geology; Geography; Chemistry; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002684947,0.000159822,0.0003395516,0.0001844682,0.002030319,0.00008278375,0.0001838316,0.00009235004,0.00007627896],"category_scores_gemma":[0.00002448161,0.0001277401,0.00002950152,0.0002549005,0.0005464174,0.0001226715,0.00007100096,0.0001285616,0.000007691155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003753289,"about_ca_system_score_gemma":0.00003638666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005573972,"about_ca_topic_score_gemma":0.0001893527,"domain_scores_codex":[0.9978978,0.0006080036,0.0003313505,0.0005939755,0.0001721177,0.0003967686],"domain_scores_gemma":[0.9990753,0.0004373332,0.0001934472,0.0001291266,0.0000190501,0.0001457509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001942637,0.00003931397,0.9119328,0.0003679752,0.00005351398,0.00001752157,0.00160511,0.03014858,0.002035799,0.003237751,0.0001445092,0.05022284],"study_design_scores_gemma":[0.0003478552,0.0002923591,0.1992369,0.00002037071,0.00001460799,0.0002872941,0.000623522,0.7956116,0.00001190773,0.00006207862,0.003363288,0.0001281974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99251,0.003207612,0.001190302,0.0003864325,0.0007725887,0.0004100096,0.00004091383,0.0001404992,0.001341701],"genre_scores_gemma":[0.9941342,0.00003666266,0.005543169,0.0001066114,0.00004912799,0.00001822968,0.00001822777,0.000003416873,0.00009038373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7654631,"threshold_uncertainty_score":0.9992689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0360118356359534,"score_gpt":0.2860696568755301,"score_spread":0.2500578212395767,"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."}}