{"id":"W4393217421","doi":"10.3390/buildings14040918","title":"The Assessment of the Maturity of Informatization in Assembly-Building Projects Utilizing the CMM-CME Methodology, Taking a Project in China as an Illustration","year":2024,"lang":"en","type":"article","venue":"Buildings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Informatization; China; Maturity (psychological); Engineering; Engineering management; Manufacturing engineering; Capability Maturity Model; Construction engineering; Systems engineering; Architectural engineering; Computer science; Political science; Telecommunications","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":[0.001646912,0.0001237169,0.0001458633,0.000196696,0.00009388805,0.0001086234,0.0002319302,0.0001084423,0.000003973261],"category_scores_gemma":[0.0001998632,0.00007012526,0.00005652038,0.000896583,0.00007800837,0.0004939262,0.00004237496,0.0004004393,2.141294e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00013643,"about_ca_system_score_gemma":0.0001464165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005414838,"about_ca_topic_score_gemma":0.0005840225,"domain_scores_codex":[0.9987966,0.0002094788,0.0004847062,0.0001274412,0.0002149895,0.0001667977],"domain_scores_gemma":[0.9993866,0.0002056454,0.0001524099,0.00019818,0.00004680137,0.0000103834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002488725,0.00003199646,0.01088897,0.0006122481,0.000060564,0.000001107594,0.01588143,0.02077384,0.1309762,0.7231485,0.000132935,0.09746736],"study_design_scores_gemma":[0.0003398822,0.00007956911,0.1035816,0.001037702,0.00004043103,0.0000589601,0.01023156,0.8003059,0.07456279,0.007894956,0.001613143,0.0002535402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832178,0.0001788546,0.01214938,0.0001930884,0.0005195463,0.0006239347,0.00000287232,0.00007713363,0.003037419],"genre_scores_gemma":[0.9951143,0.00005747727,0.004684497,0.00001212727,0.00003700246,0.00006984888,0.000002841768,0.00001368347,0.000008207983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7795321,"threshold_uncertainty_score":0.2859625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127413801616046,"score_gpt":0.3343773965472879,"score_spread":0.2931032585311275,"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."}}