{"id":"W2019060119","doi":"10.1016/j.autcon.2008.08.001","title":"Visualizing high-rise building construction strategies using linear scheduling and 4D CAD","year":2008,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Schedule; Scheduling (production processes); Computer science; Visualization; CAD; Project management; Software engineering; Systems engineering; Industrial engineering; Engineering; Engineering drawing; Operations management; Artificial intelligence","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":[0.0002775407,0.0009276921,0.0004728245,0.001239088,0.0003519942,0.001277929,0.0006250961,0.000577188,0.01328534],"category_scores_gemma":[0.0006260286,0.0005899174,0.0005057544,0.001355174,0.0004134371,0.0006255157,0.0006424127,0.0006539171,0.0007661606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007526686,"about_ca_system_score_gemma":0.001253189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009252558,"about_ca_topic_score_gemma":0.01488839,"domain_scores_codex":[0.9998561,0.00003091725,0.000007754992,0.0000186933,0.00005042409,0.00003610555],"domain_scores_gemma":[0.9996216,0.0001931991,0.00003476936,0.00003925228,0.00005712273,0.00005402931],"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":[0.0009607226,0.0005030085,0.006120149,0.0005966483,0.00008607587,0.0005790267,0.001833069,0.7117714,0.07051379,0.02305772,0.007825032,0.1761533],"study_design_scores_gemma":[0.00008512747,0.0001287202,0.003677382,0.00003935235,0.0000297349,0.0001099446,0.0004682625,0.970456,0.01261225,0.005461965,0.006865025,0.00006623553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3853173,0.0005729191,0.5764759,0.0007184693,0.0001250331,0.000212368,0.001547133,0.008249111,0.02678177],"genre_scores_gemma":[0.7839554,0.0004179027,0.2100412,0.00005508748,0.00002370289,0.0001022321,0.0004959517,0.0005421665,0.004366369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01328534,"threshold_uncertainty_score":0.04444391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0170725969977628,"score_gpt":0.2583357278586067,"score_spread":0.2412631308608439,"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."}}