{"id":"W7000758076","doi":"","title":"GIBSI: an integrated modelling system for watershed management – sample applications and current developments","year":2007,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Watershed; Watershed management; Current (fluid); Surface water; Hydrological modelling; Decision support system; Hydrology (agriculture); Agriculture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001343851,0.001053141,0.0006568932,0.001097581,0.0004645076,0.001998075,0.002521991,0.0006911864,0.02172314],"category_scores_gemma":[0.001764208,0.000563035,0.0006626245,0.002001004,0.0003839727,0.001175347,0.001487432,0.001080744,0.005587808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016935,"about_ca_system_score_gemma":0.00250702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0606306,"about_ca_topic_score_gemma":0.06194573,"domain_scores_codex":[0.9995473,0.00009317878,0.00004166093,0.00006506522,0.0002089768,0.00004366922],"domain_scores_gemma":[0.9993839,0.0001596216,0.00003648734,0.0001212741,0.0002051529,0.00009358618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001118363,0.0003140071,0.01184034,0.001881762,0.000259427,0.0005568971,0.001163413,0.1691194,0.03150178,0.03323179,0.1983002,0.5507126],"study_design_scores_gemma":[0.0003332193,0.0001369277,0.005359821,0.0002622267,0.00009368028,0.0002192331,0.0002073612,0.4037188,0.01311861,0.008835002,0.5675347,0.0001805247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02215324,0.001095387,0.5719576,0.001339164,0.000272936,0.0009723222,0.0416663,0.3127083,0.04783463],"genre_scores_gemma":[0.1329938,0.002979533,0.7202197,0.0009301393,0.0001306055,0.001508072,0.08553862,0.01809457,0.03760498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0606306,"threshold_uncertainty_score":0.1205553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1918906040160704,"score_gpt":0.4846851011815695,"score_spread":0.2927944971654991,"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."}}