{"id":"W7128087951","doi":"10.22260/crc-csce-2025/0184","title":"Assessing the Impact of Prefabrication on the Carbon Footprint of Multi-Story Residential Construction","year":2025,"lang":"","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Prefabrication; Life-cycle assessment; Footprint; Construction industry; Environmental impact assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003227357,0.000515779,0.0003072763,0.002999069,0.0009954575,0.001830539,0.0006298844,0.0005628464,0.001492721],"category_scores_gemma":[0.005532926,0.0002109167,0.0004627107,0.00415896,0.0007013538,0.001019052,0.000943764,0.0003350782,0.0001731651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003503822,"about_ca_system_score_gemma":0.002636459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04451953,"about_ca_topic_score_gemma":0.1890363,"domain_scores_codex":[0.9976265,0.0007510551,0.0001251132,0.0001361878,0.001149121,0.0002121546],"domain_scores_gemma":[0.991816,0.004507645,0.001199481,0.0001844366,0.002132119,0.0001603843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001060885,0.0005572813,0.5440603,0.009101972,0.0006609602,0.004037262,0.03678054,0.01436754,0.03267371,0.003377561,0.001201018,0.3521209],"study_design_scores_gemma":[0.00001275806,0.001345388,0.9324899,0.0008904921,0.0004879643,0.0006485954,0.03564006,0.003189798,0.01334096,0.0005726155,0.01130917,0.00007235304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877015,0.001617669,0.0009262107,0.00007770565,0.000004970452,0.0001358773,0.0003701276,0.000008711759,0.009157221],"genre_scores_gemma":[0.994198,0.00158443,0.003091101,0.00002420515,0.000003748587,0.00006483494,0.0002666822,0.000006780638,0.0007601128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04451953,"threshold_uncertainty_score":0.08852082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097142858089513,"score_gpt":0.2980094491588182,"score_spread":0.277038020577923,"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."}}