{"id":"W4403040570","doi":"10.1007/978-3-031-60415-7_19","title":"BIM-Based Generative Design Processes for Targeted Value Design of Low-Carbon Buildings","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":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Generative Design; Generative grammar; Value (mathematics); Engineering; Architectural engineering; Computer science; Artificial intelligence; Chemical engineering; Machine learning","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":[0.001348649,0.000734784,0.0003903111,0.0007577437,0.0007282725,0.003267072,0.001338011,0.001043955,0.007056979],"category_scores_gemma":[0.002326895,0.0006721814,0.0008700731,0.0008823499,0.00109138,0.001661505,0.002480975,0.00129468,0.001254096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078001,"about_ca_system_score_gemma":0.001014949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532567,"about_ca_topic_score_gemma":0.003318306,"domain_scores_codex":[0.9991845,0.0002773594,0.00002706352,0.00007478821,0.0003727469,0.00006359955],"domain_scores_gemma":[0.9992474,0.0004073514,0.00002732556,0.0001728784,0.0001163039,0.00002883667],"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":[0.00005314202,0.0001508304,0.0007653287,0.0002464679,0.00003833916,0.0002322726,0.002015076,0.4537172,0.01164691,0.3633493,0.002876124,0.164909],"study_design_scores_gemma":[0.00001831876,0.00004680377,0.0004055252,0.0001076902,0.00002855823,0.0001515987,0.0004824523,0.7450938,0.01270191,0.1951403,0.04579306,0.00003000877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01346661,0.000189841,0.9589387,0.0001457715,0.00003259073,0.00007993617,0.00008006632,0.0005961051,0.02647039],"genre_scores_gemma":[0.3585736,0.0004665995,0.6266667,0.00006268619,0.000014261,0.0002102733,0.0004249401,0.0005809467,0.01299995],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007056979,"threshold_uncertainty_score":0.02360797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220768170256169,"score_gpt":0.1999629566577582,"score_spread":0.1877552749551965,"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."}}