{"id":"W2052234218","doi":"10.2166/nh.2013.228","title":"Simulation of aquifer-peatland-river interactions under climate change","year":2013,"lang":"en","type":"article","venue":"Hydrology research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Peat; Aquifer; Hydrology (agriculture); Groundwater recharge; Environmental science; Wetland; Groundwater; Climate change; Groundwater flow; Fluvial; Water table; Geology; Structural basin; Ecology; Geomorphology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004529148,0.00007952111,0.0001473182,0.0001225281,0.0001634692,0.00001146468,0.0001951225,0.0001041078,0.01053757],"category_scores_gemma":[0.00005428674,0.00006517171,0.00003851483,0.0002323664,0.000475772,0.0002323048,0.0003244624,0.0002603198,0.002838202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006371882,"about_ca_system_score_gemma":0.000005401757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001366708,"about_ca_topic_score_gemma":0.0006136196,"domain_scores_codex":[0.9986356,0.0002287143,0.0001768418,0.0002475,0.0002192209,0.0004921176],"domain_scores_gemma":[0.9991562,0.0004442435,0.00004519818,0.0002296244,0.00003405685,0.00009061808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006122121,0.0001793754,0.9729288,0.000009250872,0.00001986091,0.000007301981,0.0007354977,0.0141299,0.005080313,0.0002990897,0.002916783,0.003632569],"study_design_scores_gemma":[0.0004251289,0.0003015336,0.8817232,0.000005671806,0.000006348751,0.000007283732,0.00005713169,0.108009,0.0001158417,0.004313675,0.004935508,0.00009961267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804249,0.00001527497,0.0001183221,0.00153033,0.00008168766,0.0003115004,0.000004097954,0.00001876555,0.01749509],"genre_scores_gemma":[0.9988551,0.00004236252,0.00005868782,0.000214423,0.00007617015,0.0001150499,0.00001983099,0.000009089662,0.0006093301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09387912,"threshold_uncertainty_score":0.9979382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08621623470748964,"score_gpt":0.3646757439609263,"score_spread":0.2784595092534367,"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."}}