{"id":"W3137271522","doi":"10.1002/hyp.14127","title":"The evolving perceptual model of streamflow generation at the Panola Mountain Research Watershed","year":2021,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Streamflow; Watershed; Riparian zone; Context (archaeology); Bedrock; Hydrology (agriculture); Representativeness heuristic; Environmental science; Field (mathematics); Drainage basin; Geology; Geography; Ecology; Habitat; Computer science; Geomorphology; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001036459,0.0001191315,0.0001324388,0.00001391361,0.001427529,0.00004501188,0.0003611034,0.00008604989,0.001141381],"category_scores_gemma":[0.0005758054,0.00005615023,0.00004062919,0.0002742117,0.001299149,0.0001295478,0.0009737279,0.0002161956,0.0002084082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007617672,"about_ca_system_score_gemma":0.00001803171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004553589,"about_ca_topic_score_gemma":0.0007245189,"domain_scores_codex":[0.9982711,0.0003075969,0.0002096375,0.000363551,0.0004350873,0.0004129932],"domain_scores_gemma":[0.9991984,0.0003655613,0.00004875855,0.0002881522,0.00006275332,0.00003632134],"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":[0.0004033794,0.0007605703,0.1013981,0.0001733111,0.0002590083,0.00007283211,0.01211992,0.4902571,0.2859094,0.001619941,0.1022921,0.004734409],"study_design_scores_gemma":[0.001396356,0.0009247691,0.01814727,0.00003227515,0.0001802638,0.00003507336,0.005360546,0.7199062,0.1683635,0.05349699,0.03122674,0.0009300054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817049,0.0004956574,0.0002893449,0.007358348,0.00003103989,0.0001822636,0.000003342364,0.0000258393,0.009909245],"genre_scores_gemma":[0.9923232,0.0005167373,0.000114723,0.0004005195,0.00003898907,0.00006881795,0.00001345116,0.000006605434,0.006517022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2296491,"threshold_uncertainty_score":0.9998725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07756248463870959,"score_gpt":0.2948022398614416,"score_spread":0.217239755222732,"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."}}