{"id":"W2110702588","doi":"10.1002/hyp.8461","title":"Impact of winter warming on the timing of nutrient export from forested catchments","year":2011,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Environmental science; Nutrient; STREAMS; Snow; Nitrate; Water quality; Climate change; Hydrology (agriculture); Snowmelt; Surface water; Ecosystem; Productivity; Phosphorus; Oceanography; Ecology; Geology","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":[0.0001054898,0.0001219347,0.0001671256,0.00001743653,0.00004469296,0.000004212712,0.0002998019,0.00005990973,0.0006923765],"category_scores_gemma":[0.00009056521,0.00006066078,0.00007605663,0.0001623307,0.0002431758,0.00008035212,0.0001493436,0.00008478116,0.00003787268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003438079,"about_ca_system_score_gemma":0.000008120343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003559752,"about_ca_topic_score_gemma":0.000003486162,"domain_scores_codex":[0.9991052,0.0000264527,0.0002417207,0.0002139291,0.0002240101,0.0001887445],"domain_scores_gemma":[0.9994776,0.0001120087,0.0001548226,0.000190943,0.00001443996,0.00005019153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001612703,0.000392656,0.9971877,0.000009998682,0.00002231495,0.000004740383,0.001246868,0.0001378274,0.0004474359,0.00001585743,0.0001125928,0.0002607214],"study_design_scores_gemma":[0.0004672551,0.001363183,0.9255933,0.00007216749,0.00003889763,0.00000321096,0.0001367483,0.0021683,0.03318318,0.03670783,0.00006339036,0.0002025265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953675,0.0000174113,0.000146639,0.00002893525,0.00002886761,0.0001365663,0.00001207612,0.00001803923,0.004243985],"genre_scores_gemma":[0.9997283,0.00001436496,0.0001207081,0.00007617733,0.00001067343,0.00001456566,0.000007219031,0.000006287262,0.00002168465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07159441,"threshold_uncertainty_score":0.7581037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05144454784335118,"score_gpt":0.257582586049066,"score_spread":0.2061380382057148,"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."}}