{"id":"W1044649179","doi":"10.1007/978-94-017-9508-1_18","title":"National-Scale Dynamic Model Applications for Nordic Lake Catchments","year":2015,"lang":"en","type":"book-chapter","venue":"Environmental pollution","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Scale (ratio); Environmental science; Hydrology (agriculture); Geography; Geology; Cartography; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004501703,0.0004787767,0.0004342464,0.0002850031,0.0004372539,0.001355544,0.001022871,0.0006403536,0.008634589],"category_scores_gemma":[0.001210408,0.0005165368,0.0006462763,0.0008444907,0.0001755242,0.001207922,0.0009207337,0.0007336742,0.001429238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009547971,"about_ca_system_score_gemma":0.001017251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.055311,"about_ca_topic_score_gemma":0.09327693,"domain_scores_codex":[0.9998997,0.000020106,0.000008966448,0.00002257256,0.00003515475,0.00001350038],"domain_scores_gemma":[0.9997526,0.0001085218,0.0000114696,0.00003242552,0.00007694768,0.00001809498],"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":[0.00004000634,0.00006476217,0.003360481,0.00008003927,0.00004919522,0.0001414727,0.0001894211,0.8772507,0.001715291,0.008483966,0.02868663,0.07993807],"study_design_scores_gemma":[0.00001836615,0.000008269481,0.001243676,0.00003161218,0.0000119813,0.00002804346,0.00007563853,0.9674964,0.0006822564,0.006715892,0.02367054,0.00001731485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2405991,0.003169709,0.589479,0.002376554,0.000763496,0.0001944137,0.01612566,0.01817734,0.1291147],"genre_scores_gemma":[0.6976908,0.00322335,0.2106125,0.0002691193,0.0001383397,0.000332551,0.01406589,0.003128075,0.07053935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.055311,"threshold_uncertainty_score":0.1099781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462460072658794,"score_gpt":0.2398407732415226,"score_spread":0.2252161725149346,"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."}}