{"id":"W2065594418","doi":"10.1061/(asce)0887-3801(2010)24:2(203)","title":"Automated Code Compliance Checking for Building Envelope Design","year":2010,"lang":"en","type":"article","venue":"Journal of Computing in Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Envelope (radar); Building code; Building envelope; Building design; Computer science; Code (set theory); Representation (politics); Process (computing); Building information modeling; Software; Building model; Software engineering; Engineering; Programming language; Architectural engineering; Simulation; Set (abstract data type)","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":[0.003650058,0.0007363917,0.0006737483,0.002366305,0.0008013506,0.001691357,0.001240815,0.000749829,0.003059309],"category_scores_gemma":[0.01645722,0.0005535437,0.0007989994,0.001139491,0.001131837,0.00181585,0.001856173,0.0008292521,0.00108736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007546,"about_ca_system_score_gemma":0.002916314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003972445,"about_ca_topic_score_gemma":0.003156896,"domain_scores_codex":[0.9919488,0.003041771,0.0005481126,0.0006431853,0.003535295,0.0002827708],"domain_scores_gemma":[0.9874153,0.005218765,0.001245486,0.003769078,0.002213064,0.0001384071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006712934,0.0004428741,0.007134707,0.0004811908,0.0001345029,0.0006687608,0.00117936,0.1965531,0.05221011,0.05852371,0.009645704,0.6723546],"study_design_scores_gemma":[0.00008491692,0.000129654,0.001358717,0.0001207057,0.00004355183,0.0002591766,0.0001478931,0.8826118,0.07560378,0.02374876,0.01582235,0.00006871426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0323839,0.0001105269,0.9463596,0.00009697695,0.00002558417,0.0002486652,0.0002253666,0.01733749,0.003211941],"genre_scores_gemma":[0.3980353,0.0001180445,0.5973414,0.00007275625,0.00001544871,0.0002990469,0.001208764,0.000892904,0.002016406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003972445,"threshold_uncertainty_score":0.01930356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257099712718101,"score_gpt":0.2565851507594705,"score_spread":0.2340141536322895,"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."}}