{"id":"W4206912055","doi":"10.1002/hyp.14491","title":"The DESC catchments: Long‐term monitoring of inland Precambrian shield catchment streamflow and water chemistry in Central Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; Ministry of the Environment, Conservation and Parks; Nipissing University","funders":"","keywords":"Streamflow; Hydrology (agriculture); Drainage basin; Environmental science; Surface runoff; Snowmelt; Wetland; STREAMS; Precambrian; Ecology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002002201,0.0001353722,0.0001552121,0.000008523856,0.000392726,0.00001428634,0.0002571354,0.00003537282,0.0004694418],"category_scores_gemma":[0.00002111768,0.00008185343,0.00001542455,0.00008108625,0.0002085055,0.00006565642,0.0006643019,0.0002187938,0.000001283799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003126465,"about_ca_system_score_gemma":0.00003750757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3417399,"about_ca_topic_score_gemma":0.5283508,"domain_scores_codex":[0.9987785,0.00004564531,0.0002106884,0.0002882384,0.0002522938,0.0004246862],"domain_scores_gemma":[0.9996907,0.00006740024,0.00005242674,0.0001264959,0.000003769743,0.00005927284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008246913,0.00008171763,0.9947074,0.00004127193,0.00002346794,0.00003853436,0.00103462,0.003192509,0.0002629553,7.926787e-7,0.0001741524,0.0003600962],"study_design_scores_gemma":[0.0004561026,0.0001320247,0.9877593,0.00001025143,0.00002397782,0.000007766729,0.0003871825,0.00003499257,0.007796406,0.0002424729,0.002970173,0.0001793389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972644,0.0001817409,0.000002744117,0.000924136,0.00008226129,0.0001810985,0.000003635629,0.000009672631,0.001350301],"genre_scores_gemma":[0.9987847,0.00008773352,0.000010844,0.0001067879,0.00001478151,0.0001042766,0.000007529613,0.000004269849,0.0008790721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1866109,"threshold_uncertainty_score":0.6626435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009074948270519382,"score_gpt":0.1978145317455776,"score_spread":0.1887395834750582,"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."}}