{"id":"W4320802102","doi":"10.1109/icdabi56818.2022.10041472","title":"Innovation in Construction: A new norm against Traditional Construction","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Data Analytics for Business and Industry (ICDABI)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Construction industry; Scopus; Norm (philosophy); Knowledge management; Computer science; Construction engineering; Engineering management; Engineering; Business; Political science","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":[0.06712538,0.0007507592,0.002916461,0.0108053,0.003354161,0.02197061,0.00247561,0.004752563,0.003466788],"category_scores_gemma":[0.0865357,0.0004370985,0.001205469,0.01347899,0.0353428,0.02295147,0.009294839,0.007724233,0.0009022885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008114474,"about_ca_system_score_gemma":0.02134625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003797512,"about_ca_topic_score_gemma":0.006600891,"domain_scores_codex":[0.8725269,0.06445313,0.01257414,0.01014419,0.03893741,0.001364225],"domain_scores_gemma":[0.8082474,0.1485063,0.01195727,0.01095082,0.01845785,0.001880252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002479928,0.00008243361,0.004192279,0.04280831,0.0004570759,0.0003119858,0.03680487,0.0003032177,0.001892934,0.5794721,0.04207196,0.2913548],"study_design_scores_gemma":[0.00003986205,0.0001748077,0.004353498,0.05389427,0.0003097533,0.0006883355,0.02901676,0.0002419491,0.0008025481,0.1763639,0.7340121,0.0001021489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01391526,0.6724555,0.04432342,0.1866593,0.01886842,0.000363274,0.0007566942,0.0002112576,0.06244686],"genre_scores_gemma":[0.4475805,0.3691298,0.0773224,0.07942067,0.01319595,0.002202646,0.0008246038,0.000481622,0.009841681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06712538,"threshold_uncertainty_score":0.3549972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1146396685007976,"score_gpt":0.2768311811639607,"score_spread":0.1621915126631631,"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."}}