{"id":"W2187075633","doi":"10.1139/er-2013-0034","title":"Application of decision support systems in water management","year":2013,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Water Systems and Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; University of Calgary","funders":"","keywords":"Direct-sequence spread spectrum; Decision support system; Environmental resource management; Water resources; Computer science; Asset management; Environmental science; Engineering; Risk analysis (engineering); Business; Ecology; Spread spectrum; Data mining; Telecommunications; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000131858,0.00007529011,0.000152045,0.00004255756,0.000007012792,0.000008283938,0.00006481215,0.00002683317,0.00008438938],"category_scores_gemma":[3.705084e-7,0.00005242183,0.00002681653,0.00002866597,0.000006431834,0.00009860386,0.000020667,0.00002540952,0.001231682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005909822,"about_ca_system_score_gemma":1.643688e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001710467,"about_ca_topic_score_gemma":0.000002748406,"domain_scores_codex":[0.9993604,0.00001499517,0.0003573377,0.00009109336,0.0000813494,0.00009478515],"domain_scores_gemma":[0.9997774,0.000002715298,0.0000255646,0.0001721961,2.993545e-7,0.00002183136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006087445,0.0002078235,0.01440716,0.001534054,0.00004718531,0.000007852916,0.001021516,0.1292315,0.04279428,0.0001251127,0.02169463,0.7889228],"study_design_scores_gemma":[0.0005178841,0.00003682578,0.02404571,0.0002619277,0.00001857373,0.000007797925,0.0001111679,0.1007374,0.006066379,0.00007908438,0.8677993,0.0003179952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4946254,0.02502252,0.4320304,0.00003999391,0.0013123,0.01147188,0.00000791212,0.0001681413,0.03532137],"genre_scores_gemma":[0.9955574,0.002390152,0.001203903,0.000006236181,0.00001478121,0.0003349413,0.00003655481,0.00001317162,0.0004428726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8461046,"threshold_uncertainty_score":0.999546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005627227110561772,"score_gpt":0.1812652264572159,"score_spread":0.1756379993466542,"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."}}