{"id":"W4402673781","doi":"10.1109/tem.2024.3461508","title":"Exploring the Challenges in Building Information Modeling (BIM) During the Design Phase: Evidence From Cross-Country Studies","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Engineering Management","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Building information modeling; Phase (matter); Systems engineering; Engineering; Computer science; Business; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003184332,0.0002085662,0.0001208511,0.0002984886,0.0001699699,0.0002418519,0.0001844749,0.00003726028,0.000007430182],"category_scores_gemma":[0.000006152351,0.0001518081,0.0000608541,0.0003924284,0.00002154457,0.001487689,0.000003433463,0.0003791884,0.00001870243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002830751,"about_ca_system_score_gemma":0.000005680648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001661349,"about_ca_topic_score_gemma":0.00001291718,"domain_scores_codex":[0.9990156,0.00002037076,0.0003305372,0.0001770092,0.0002327594,0.0002236747],"domain_scores_gemma":[0.9994895,0.0001934177,0.0000142322,0.000253293,0.0000264085,0.00002311323],"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":[0.00001151247,0.000005772507,3.583297e-7,0.0003042668,0.0001698208,0.000003998353,0.001552666,0.9418066,0.000627579,0.0009346956,0.000003371272,0.05457938],"study_design_scores_gemma":[0.000190373,0.0000124745,0.00007411247,0.0009611539,0.00004699243,0.000004901667,0.001326842,0.9905845,0.006139218,0.0001015356,0.0003856215,0.000172297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1524154,0.005113528,0.8390614,0.0001325495,0.002391998,0.0002920583,0.00000574073,0.0005472871,0.0000399893],"genre_scores_gemma":[0.984641,0.01331847,0.001285839,0.000007761193,0.00009321026,0.0006147057,6.339612e-7,0.00002771876,0.00001064826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8377756,"threshold_uncertainty_score":0.6190554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1098816637621127,"score_gpt":0.2813967210592218,"score_spread":0.1715150572971091,"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."}}