{"id":"W2180715974","doi":"10.1155/2015/579486","title":"An Integrated BIM System to Track the Time and Cost of Construction Projects: A Case Study","year":2015,"lang":"en","type":"article","venue":"Journal of Construction Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Schedule; Building information modeling; Earned value management; Project management; Process (computing); Project planning; Construction management; Pre-construction services; Systems engineering; Cost estimate; Project management triangle; Track (disk drive); Computer science; Engineering management; Engineering; Operations management; Scheduling (production processes); Project charter; Civil 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":[],"consensus_categories":[],"category_scores_codex":[0.0004851668,0.0001766682,0.0003024183,0.0004002858,0.00005164209,0.0000741131,0.00009866909,0.00008170633,0.0000076297],"category_scores_gemma":[0.00005901837,0.0001341646,0.00005171111,0.0004755606,0.00006649442,0.0004432742,0.000009307252,0.0002917685,0.000002293046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582087,"about_ca_system_score_gemma":0.00008095668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005001893,"about_ca_topic_score_gemma":0.00001161372,"domain_scores_codex":[0.9987966,0.00006341565,0.0006521425,0.0001087937,0.0002433531,0.0001357258],"domain_scores_gemma":[0.9989426,0.0000412823,0.0001851222,0.0001606463,0.0004873082,0.0001830529],"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":[0.000226675,0.0001216366,0.006077777,0.0002722224,0.0006489487,0.0004868724,0.008883253,0.7639942,0.02115603,0.003153908,0.0002509171,0.1947275],"study_design_scores_gemma":[0.002947076,0.001318876,0.0008594795,0.0004371593,0.0003490935,0.216609,0.1978331,0.5708825,0.00627191,0.0000300666,0.001890937,0.0005708518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93174,0.0001079874,0.06614727,0.0000184863,0.001405922,0.0003593368,0.000009243438,0.0001251664,0.00008655985],"genre_scores_gemma":[0.9899336,0.000005410761,0.009826134,0.000003119464,0.0001926212,0.0000115603,0.00000101717,0.00002318347,0.000003349131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2161221,"threshold_uncertainty_score":0.5471072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213662361098052,"score_gpt":0.2220072029992322,"score_spread":0.2098705793882516,"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."}}