{"id":"W6979792010","doi":"","title":"Agent-Based Modelling as a Decision Support Tool for Water Resources Planning and Management","year":2018,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Decision support system; Solver; Population; Water resources; Set (abstract data type); Energy (signal processing); Novelty; Water conservation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001734804,0.001044611,0.001255765,0.0008352578,0.0009494862,0.003066653,0.00202539,0.001727411,0.005048268],"category_scores_gemma":[0.003239493,0.0008043093,0.001073535,0.001147684,0.0008570665,0.001721981,0.001671801,0.002170855,0.0007420092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513679,"about_ca_system_score_gemma":0.002329911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01818499,"about_ca_topic_score_gemma":0.019428,"domain_scores_codex":[0.9992744,0.000371494,0.00005754708,0.00006532135,0.0001952849,0.00003602712],"domain_scores_gemma":[0.9977636,0.001742811,0.0001235821,0.00009164431,0.0001964118,0.00008196756],"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":[0.00001775068,0.00004518724,0.0003630641,0.0001463145,0.00006536418,0.00006385453,0.0001129172,0.9275978,0.0003213364,0.05134818,0.001998644,0.01791956],"study_design_scores_gemma":[0.00001222899,0.0000103208,0.0000373999,0.00003249725,0.00001208815,0.00000886883,0.00003056132,0.9711165,0.0001218437,0.02086339,0.00774573,0.00000855798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005389576,0.0006186806,0.9794867,0.001134355,0.000162998,0.0001616518,0.0003381109,0.0007742437,0.0119336],"genre_scores_gemma":[0.1817752,0.002070394,0.805702,0.0003017651,0.0001597925,0.0007577965,0.000567697,0.0002051386,0.00846017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01818499,"threshold_uncertainty_score":0.03615826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007265095357373003,"score_gpt":0.1821132243936519,"score_spread":0.1748481290362789,"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."}}