{"id":"W2203773648","doi":"","title":"Adaptable effectiveness of industrialised building (IBS) in construction projects","year":2013,"lang":"en","type":"other","venue":"UMP Institutional Repository (Universiti Malaysia Pahang)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Construction waste; Construction management; Government (linguistics); Quality (philosophy); Productivity; Construction industry; Business; Engineering; Building construction; Construction engineering; Pre-construction services; Urban construction; Transport engineering; Civil engineering; Project management; Architectural engineering; Program management; Economic growth; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00426985,0.0003090609,0.0001988935,0.001647584,0.0006849859,0.001763098,0.0007312294,0.0003760794,0.004164241],"category_scores_gemma":[0.008683527,0.0002016415,0.0003096245,0.001277522,0.000950279,0.001038105,0.002877927,0.0003294776,0.000315882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156649,"about_ca_system_score_gemma":0.001274977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003170566,"about_ca_topic_score_gemma":0.008736732,"domain_scores_codex":[0.9926066,0.004009361,0.0003704216,0.0002776902,0.002088692,0.0006472412],"domain_scores_gemma":[0.99471,0.001832161,0.001373297,0.0005060546,0.0009374778,0.0006411225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003731297,0.001832866,0.4367372,0.001338084,0.0001360735,0.001334408,0.04161596,0.007014739,0.01018011,0.00659068,0.002088475,0.4907583],"study_design_scores_gemma":[0.00002142217,0.001378503,0.9245924,0.000353018,0.00007156834,0.0004716277,0.04789784,0.002473226,0.002532745,0.0008867249,0.01927696,0.00004388013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718631,0.0002032626,0.0007856284,0.0001358018,0.000005363793,0.00008371384,0.00004048909,0.00003532134,0.02684731],"genre_scores_gemma":[0.9971501,0.0001586875,0.001097824,0.00001112164,0.000001843458,0.00002089637,0.0000245413,0.000004051179,0.001530884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00426985,"threshold_uncertainty_score":0.0225814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009042453486398011,"score_gpt":0.1843304297068112,"score_spread":0.1752879762204132,"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."}}