{"id":"W2168920618","doi":"10.1109/icsmc.2006.384558","title":"Computational Intelligence Techniques for Building Transparent Construction Performance Models","year":2006,"lang":"en","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial neural network; Cluster analysis; Transparency (behavior); Fuzzy logic; Data mining; Artificial intelligence; Data modeling; Machine learning; Computational intelligence; Genetic algorithm; Model building; Database","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":[0.001819927,0.001044697,0.0008360493,0.001395339,0.000403885,0.001461557,0.001142935,0.0009154476,0.001535395],"category_scores_gemma":[0.006730919,0.0006089746,0.001147725,0.001372449,0.0008974339,0.001837084,0.001319542,0.001654718,0.0004260125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007971647,"about_ca_system_score_gemma":0.0008669044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004241438,"about_ca_topic_score_gemma":0.002847895,"domain_scores_codex":[0.9990389,0.0003718626,0.00007107579,0.0001205666,0.0003447826,0.00005273197],"domain_scores_gemma":[0.9982972,0.001142865,0.0001944008,0.0001594541,0.000185351,0.00002084505],"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":[0.000006948782,0.00001008246,0.0001698203,0.00003275594,0.00001749004,0.00003332522,0.00003805834,0.9522589,0.0003069532,0.03219036,0.0002143367,0.0147209],"study_design_scores_gemma":[0.000001501595,0.0000033751,0.0000324396,0.000005331983,0.000002646422,0.000005966961,0.000004521115,0.9847662,0.0000883307,0.01474076,0.0003461598,0.000002824001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002921997,0.00009741358,0.9952722,0.0001001056,0.00001014609,0.00001707158,0.00003026122,0.0001365756,0.001414196],"genre_scores_gemma":[0.3506034,0.0008696022,0.6445745,0.0001004508,0.00006298626,0.0005205256,0.0003186298,0.0001218274,0.002828091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004241438,"threshold_uncertainty_score":0.009624779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874412572166419,"score_gpt":0.2326236221550038,"score_spread":0.2138794964333396,"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."}}