{"id":"W3202457130","doi":"10.1002/hyp.14391","title":"Data sets for the Upper Penticton Creek watershed experiment: A paired‐catchment study to support investigations of watershed response to forest dynamics and climatic variability in an inland snow‐dominated region","year":2021,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; Simon Fraser University; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrology (agriculture); Environmental science; Watershed; Streamflow; Snowmelt; Interception; Drainage basin; Hydrograph; Snowpack; Experimental forest; Snow; Geology; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002143444,0.0001989531,0.0003298472,0.0000536485,0.0002660965,0.00005563124,0.0005025979,0.00006601329,0.00007653652],"category_scores_gemma":[0.001698791,0.0001349128,0.00002357452,0.0003865757,0.0003267794,0.0002711992,0.001305467,0.00009784324,0.000009599979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000803661,"about_ca_system_score_gemma":0.00002229628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001649437,"about_ca_topic_score_gemma":0.002841861,"domain_scores_codex":[0.9976342,0.0005415729,0.0004489482,0.0007874733,0.0002134183,0.0003744269],"domain_scores_gemma":[0.998336,0.0007281037,0.00008168926,0.0006817188,0.00003781688,0.0001347213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001677797,0.001677612,0.979176,0.0001392784,0.00006178386,0.0000439668,0.01145299,0.00425737,0.0005603388,0.00002164839,0.0005070638,0.0004240845],"study_design_scores_gemma":[0.002927041,0.005393654,0.9167907,0.00006458505,0.0002878231,0.00001567882,0.008939918,0.05707451,0.001923718,0.005108183,0.0008678937,0.0006062739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883075,0.00001164645,0.002092595,0.00758514,0.00003145292,0.001857331,0.0000362352,0.00002950851,0.00004861005],"genre_scores_gemma":[0.9974037,0.00001273075,0.001091918,0.0007573299,0.00000612337,0.0004529664,0.000167374,0.00001077181,0.00009705577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06238535,"threshold_uncertainty_score":0.5501583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05638148151032601,"score_gpt":0.3092067795006377,"score_spread":0.2528252979903117,"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."}}