{"id":"W4405496053","doi":"10.1007/978-3-031-61503-0_16","title":"A BIM-Centric Decision-Making Supporting Tool for Material Selection During Early Design Stages of Building Envelope","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Envelope (radar); Selection (genetic algorithm); Building envelope; Architectural engineering; Engineering; Construction engineering; Computer science; Systems engineering; Process management; Artificial intelligence; Geography; Aerospace engineering","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":[0.0002475659,0.0005346255,0.0005458161,0.0010206,0.00005735542,0.0001310551,0.0001696597,0.0005728092,0.0001712074],"category_scores_gemma":[0.0002290234,0.0005794482,0.0001949781,0.000250148,0.00001833967,0.0001728395,0.00004505039,0.0006342566,0.000004124043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004069279,"about_ca_system_score_gemma":0.00005026652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004408181,"about_ca_topic_score_gemma":0.00003072168,"domain_scores_codex":[0.9979978,0.000006595456,0.0008491738,0.0004317574,0.0002643058,0.0004503728],"domain_scores_gemma":[0.9990394,0.0004897026,0.0001466049,0.0001907067,0.00009044202,0.00004310816],"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":[0.00006234939,0.000003925298,0.00008119196,0.001585285,0.000165162,0.0000172407,0.000204613,0.9117841,0.0456507,0.006186589,0.00000909494,0.03424978],"study_design_scores_gemma":[0.001295164,0.0002422949,0.0004888887,0.01551994,0.0004703632,0.0002976352,0.000009760762,0.6497073,0.2578585,0.06788699,0.002964111,0.003259025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02190929,0.00096257,0.9730223,0.000005812554,0.002355137,0.0006306914,0.00006269734,0.0005654409,0.0004860859],"genre_scores_gemma":[0.9451258,0.00009566487,0.05360021,0.000003146533,0.0006456379,0.00007810962,0.00001516433,0.0002519641,0.0001843319],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9232165,"threshold_uncertainty_score":0.9996657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006705616666849951,"score_gpt":0.2160106053733731,"score_spread":0.2093049887065231,"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."}}