{"id":"W3029097617","doi":"10.1108/ecam-01-2020-0017","title":"BIM-based life-cycle environmental assessment of prefabricated buildings","year":2020,"lang":"en","type":"article","venue":"Engineering Construction & Architectural Management","topic":"BIM and Construction Integration","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Prefabrication; Building information modeling; Resource consumption; Life-cycle assessment; Apartment; Environmental impact assessment; Architectural engineering; Resource (disambiguation); Engineering; Construction engineering; Civil engineering; Environmental resource management; Computer science; Environmental science; Operations management; Production (economics)","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":[0.00004540233,0.0002241514,0.0002034739,0.0001894602,0.00004517762,0.00002825713,0.0001445499,0.00005190416,0.0001879104],"category_scores_gemma":[0.000007247974,0.0002350818,0.00009989167,0.000288977,0.00006549358,0.00009329761,0.00003788803,0.0002123874,0.00001084533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008736425,"about_ca_system_score_gemma":0.0000099545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003474208,"about_ca_topic_score_gemma":2.802019e-7,"domain_scores_codex":[0.9989362,0.00001482555,0.0003624762,0.0002329298,0.0002414788,0.000212064],"domain_scores_gemma":[0.9995995,0.00002026269,0.00006188,0.0001620941,0.00001113043,0.0001451223],"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":[0.0000115142,0.00001116825,0.001185982,0.0002264762,0.0001494679,0.000002389385,0.0000646737,0.8988245,0.016703,0.006873889,0.00004365987,0.07590326],"study_design_scores_gemma":[0.000746977,0.00007131667,0.02006696,0.00005261456,0.00006645864,0.00001727754,0.0001090006,0.9678453,0.006713749,0.0001016646,0.003849934,0.0003587776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4915048,0.0000780171,0.5056533,0.0002457095,0.0004999817,0.0002957039,0.00001863595,0.0006398099,0.00106403],"genre_scores_gemma":[0.9322077,0.00001519821,0.0675438,0.00005654321,0.00007897252,0.00003828507,0.00002311728,0.00003189511,0.000004474771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4407029,"threshold_uncertainty_score":0.9586359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004704900180745781,"score_gpt":0.1798748500605162,"score_spread":0.1751699498797704,"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."}}