{"id":"W2330520911","doi":"10.1115/imece2012-93116","title":"Examining the LEED Rating System Using Approximate Inverse Optimization","year":2012,"lang":"en","type":"article","venue":"","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Certification; Environmental design; Inverse; Curse of dimensionality; Green building; Inverse problem; Computer science; Point (geometry); Order (exchange); Surface (topology); Architectural engineering; Industrial engineering; Mathematical optimization; Mathematics; Engineering; Artificial intelligence; Economics; Geometry; Civil engineering; Mathematical analysis","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":[0.004919286,0.0004405832,0.0009018373,0.001498326,0.0005936883,0.002229077,0.0009225493,0.001170937,0.002952499],"category_scores_gemma":[0.02679085,0.0005974176,0.0007174159,0.001359506,0.001148013,0.002233779,0.001069022,0.001233597,0.0003855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002858915,"about_ca_system_score_gemma":0.001092028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0318715,"about_ca_topic_score_gemma":0.01932958,"domain_scores_codex":[0.9971147,0.00168209,0.0001151687,0.0004432662,0.0004713025,0.0001735332],"domain_scores_gemma":[0.9921441,0.005151035,0.0007219329,0.0006590615,0.001212242,0.0001115591],"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":[0.0001107189,0.00007951047,0.02600764,0.00007693678,0.00005015648,0.0001316113,0.0002633674,0.8971838,0.0006804677,0.03785201,0.001757798,0.03580599],"study_design_scores_gemma":[0.00000420643,0.00001275691,0.002747901,0.000006811036,0.000002999196,0.00001744588,0.00006176377,0.9916964,0.0001256795,0.004861226,0.0004490249,0.00001376914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5705985,0.0003291944,0.4102332,0.001202583,0.00004716656,0.0001602222,0.0008381956,0.0002893819,0.01630158],"genre_scores_gemma":[0.9434429,0.00006601497,0.0542028,0.00006284143,0.00001064175,0.00006338542,0.0005059164,0.0000479487,0.001597452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0318715,"threshold_uncertainty_score":0.06337196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03786380531369686,"score_gpt":0.2364163928914013,"score_spread":0.1985525875777045,"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."}}