{"id":"W2397726616","doi":"10.1061/9780784479827.004","title":"Design Change Time Ripple Effect Analysis Using a BIM-Based Quantification Model","year":2016,"lang":"en","type":"article","venue":"Construction Research Congress 2016","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Schedule; Scope (computer science); Computer science; Ripple; Risk analysis (engineering); Plan (archaeology); Work (physics); Project management; Frame (networking); Operations research; Systems engineering; Business; Engineering","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":[0.002823797,0.0009019166,0.0005657257,0.002360137,0.000560954,0.001759413,0.001246828,0.0008560341,0.003015309],"category_scores_gemma":[0.004965302,0.0006231905,0.00114598,0.001574434,0.0006239144,0.001817454,0.001148584,0.0007282989,0.0003219628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00266557,"about_ca_system_score_gemma":0.002684623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01864012,"about_ca_topic_score_gemma":0.01312486,"domain_scores_codex":[0.9985794,0.0004360857,0.00008413154,0.0001585738,0.0006263112,0.0001154862],"domain_scores_gemma":[0.9978216,0.001144556,0.0002594058,0.0001916434,0.0005353281,0.00004748852],"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":[0.00002669552,0.00003191947,0.0009016309,0.00005263193,0.00001355803,0.00004124734,0.00007568293,0.974147,0.0007992891,0.009473698,0.0003579111,0.01407878],"study_design_scores_gemma":[0.000004150156,0.00002024855,0.0004914441,0.00001059716,0.00001637358,0.00001670723,0.00003682069,0.9952306,0.000782281,0.002032275,0.001346234,0.00001225878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06116747,0.0001915517,0.9175988,0.0002474603,0.00003695911,0.0002547493,0.0005680753,0.0007529139,0.01918205],"genre_scores_gemma":[0.7853584,0.0004046198,0.2078973,0.00005532799,0.00001303541,0.0005680437,0.0006005696,0.0001716999,0.004931003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01864012,"threshold_uncertainty_score":0.03706324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104387905639057,"score_gpt":0.3354859888109263,"score_spread":0.2310980831718693,"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."}}