{"id":"W4405079855","doi":"10.1007/978-981-97-8313-7_27","title":"A Multi-criteria Optimization Framework for the Residential Hot Water Network Emphasizing on the Role of Control Strategy","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; Ontario Medical Association","funders":"","keywords":"Control (management); Computer science; Artificial intelligence","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":[0.001261444,0.001549638,0.001093969,0.0005162263,0.000647018,0.002013645,0.001853339,0.001840293,0.005736977],"category_scores_gemma":[0.001209236,0.0006423597,0.001190903,0.0009586836,0.0009720928,0.001398318,0.001421352,0.001821757,0.0007119625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648287,"about_ca_system_score_gemma":0.001282847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006705696,"about_ca_topic_score_gemma":0.00645779,"domain_scores_codex":[0.9995,0.0002429346,0.00001648969,0.00007827885,0.0001200398,0.00004228372],"domain_scores_gemma":[0.9997286,0.0001424603,0.00002814501,0.00001301955,0.000059439,0.00002823211],"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":[0.00001339304,0.0000322409,0.00006282757,0.00007462189,0.00002339062,0.00007658028,0.00003599234,0.8626412,0.00100088,0.1235468,0.001760801,0.01073139],"study_design_scores_gemma":[0.000004610491,0.00002638419,0.00005097111,0.00001449165,0.000006640969,0.00001330128,0.0000131557,0.9627396,0.0001301675,0.03500871,0.001984308,0.000007688673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001880427,0.0006254222,0.9862596,0.0002364456,0.00006791674,0.00003449536,0.00003953348,0.00004144606,0.0108147],"genre_scores_gemma":[0.5054119,0.00303347,0.4455244,0.000319358,0.0003508559,0.0006602486,0.0002090015,0.0002623799,0.04422839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006705696,"threshold_uncertainty_score":0.0191921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009643397978624079,"score_gpt":0.2129427661727093,"score_spread":0.2032993681940852,"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."}}