{"id":"W2921884574","doi":"10.2166/wqrj.2000.011","title":"Design Considerations for Watershed Management Decision Support Systems","year":2000,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Decision support system; Watershed; Valuation (finance); Computer science; Ranking (information retrieval); Watershed management; Environmental resource management; Environmental science; Data mining; Business","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":[0.008530701,0.0006581499,0.0004225786,0.001296821,0.00101043,0.005515728,0.001247522,0.001847291,0.005726608],"category_scores_gemma":[0.01896975,0.0006830121,0.000695425,0.0009215929,0.001182623,0.002539946,0.001433022,0.0009264232,0.001041962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001901197,"about_ca_system_score_gemma":0.002030709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001828681,"about_ca_topic_score_gemma":0.001716236,"domain_scores_codex":[0.9918157,0.004896075,0.0005521535,0.0004806409,0.001842545,0.0004127946],"domain_scores_gemma":[0.9922616,0.005012143,0.0004175263,0.0004594357,0.00157761,0.0002716123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004430616,0.0002694644,0.005766917,0.001038866,0.0001428839,0.00108902,0.001345162,0.493369,0.01400464,0.2956612,0.00703551,0.1798344],"study_design_scores_gemma":[0.0002159922,0.0007399353,0.001615694,0.0004055029,0.0001755142,0.0006093305,0.0009796531,0.7400762,0.0100223,0.1668058,0.07829376,0.00006028619],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05141882,0.000498655,0.9178753,0.003552005,0.00009328793,0.001118763,0.0002296416,0.000961829,0.0242516],"genre_scores_gemma":[0.4266038,0.0003373323,0.5665529,0.0004045557,0.00007555677,0.001236558,0.0004717794,0.0000970033,0.004220452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008530701,"threshold_uncertainty_score":0.04511523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1718928491908147,"score_gpt":0.3909350318671141,"score_spread":0.2190421826762995,"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."}}