{"id":"W4402603176","doi":"10.1007/978-3-031-61499-6_17","title":"Design Recommender System for Building Energy Performance","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Recommender system; Computer science; Energy (signal processing); Architectural engineering; World Wide Web; Engineering; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001520839,0.0005271239,0.0004275469,0.0004567662,0.00003629144,0.00006298494,0.0002107244,0.000605113,0.00002455518],"category_scores_gemma":[0.0000131551,0.0005717195,0.0001268666,0.0001125384,0.000008848914,0.00008942297,0.00003991664,0.0005320958,0.000002622825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004568374,"about_ca_system_score_gemma":0.00002046705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000306645,"about_ca_topic_score_gemma":0.00002095835,"domain_scores_codex":[0.9987149,0.000003402042,0.000380122,0.000364873,0.0001436687,0.0003930814],"domain_scores_gemma":[0.9993444,0.0002466611,0.00004088938,0.0002829871,0.00002846511,0.00005657382],"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":[0.000006722849,0.000001518833,3.43581e-7,0.001218277,0.0001044339,0.000008185299,0.00003297478,0.9759474,0.0002581351,0.01559359,0.000118171,0.006710182],"study_design_scores_gemma":[0.0001462938,0.00002736215,1.277536e-7,0.001858095,0.00005596473,0.00002423952,3.797326e-7,0.9618455,0.004777436,0.002293411,0.02838012,0.0005910991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0000130934,0.004696399,0.9797705,0.00001829842,0.002116169,0.0001937234,0.00001070232,0.001177585,0.01200353],"genre_scores_gemma":[0.9262669,0.0009835893,0.06484577,0.00005907986,0.00136548,0.0003601372,0.0001288124,0.000961846,0.005028379],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9262538,"threshold_uncertainty_score":0.9996734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154076230967522,"score_gpt":0.1848926131894183,"score_spread":0.1733518508797431,"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."}}