{"id":"W2072631216","doi":"10.1016/j.aei.2007.03.003","title":"A geometric modelling framework for conceptual structural design from early digital architectural models","year":2007,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"BIM and Construction Integration","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process (computing); Conceptual design; Representation (politics); Architectural geometry; Computer science; Design process; Conceptual model; Systems engineering; Architectural technology; Hierarchy; Interdependence; Software engineering; Architecture; Engineering; Work in process; Software; Software development; Human–computer interaction; Programming language; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007442473,0.0002529284,0.0002112577,0.0002533046,0.00006242513,0.0001122366,0.0001550212,0.000151877,0.00000524332],"category_scores_gemma":[0.00004393484,0.0002551541,0.00008605153,0.000347799,0.00003208331,0.001135208,0.00001506164,0.0003143467,0.000007161688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009874504,"about_ca_system_score_gemma":0.00001086909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002598985,"about_ca_topic_score_gemma":3.547007e-7,"domain_scores_codex":[0.9987794,0.000001671768,0.0005244254,0.00009368869,0.0001870665,0.0004137353],"domain_scores_gemma":[0.9992036,0.0003663049,0.00006195183,0.0001795146,0.00007375779,0.0001148497],"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":[0.00001845959,0.000001152741,0.000009072304,0.00002660405,0.00003506833,3.23836e-7,0.001409758,0.928159,0.00005951839,0.01169025,0.000003379263,0.05858744],"study_design_scores_gemma":[0.0003245359,0.00004081582,0.00003498553,0.00005204904,0.0000122925,0.000008707123,0.0003224745,0.9835559,0.001921678,0.01312532,0.0002859895,0.0003152631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2398991,0.0001730231,0.7584905,0.000001415767,0.0005742867,0.0002240505,0.00005370522,0.0004776434,0.000106208],"genre_scores_gemma":[0.5482563,0.000006226446,0.4515703,0.000007409385,0.00008344794,0.0000156157,0.00003042966,0.00002656969,0.000003639805],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3083572,"threshold_uncertainty_score":0.99999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635138555692051,"score_gpt":0.2081436789079392,"score_spread":0.1917922933510187,"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."}}