{"id":"W2000118605","doi":"10.1016/j.autcon.2010.10.002","title":"On-site visualization of building component erection enabled by integration of four-dimensional modeling and automated surveying","year":2011,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Component (thermodynamics); Building model; Software; Visualization; Model building; Position (finance); Computer science; Orientation (vector space); Controller (irrigation); Engineering; Simulation; Data mining","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":[0.0003139506,0.0001557433,0.0002199746,0.0005061302,0.00006026292,0.0000157537,0.00003934361,0.0001496472,0.00004038459],"category_scores_gemma":[0.00005362386,0.000168759,0.00003621972,0.0004277083,0.00006629567,0.0004412893,0.00000971288,0.0001126463,0.000001460807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064493,"about_ca_system_score_gemma":0.00001965993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000277148,"about_ca_topic_score_gemma":0.00004424201,"domain_scores_codex":[0.9987097,0.0001048361,0.0006727619,0.000184236,0.0002104292,0.0001180737],"domain_scores_gemma":[0.9993827,0.00006752158,0.0002122534,0.0001085507,0.0001972727,0.00003164799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001630382,0.0001036232,0.01501196,0.0002532869,0.00007814171,6.124654e-7,0.001779567,0.2335602,0.6450617,0.0544075,0.0001288962,0.04945145],"study_design_scores_gemma":[0.0004590919,0.00004632885,0.006969952,0.0002018701,0.00001440086,0.00002289709,0.0001534393,0.9107828,0.07939122,0.00182814,0.000001565165,0.0001283612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7863904,0.00004051947,0.2122752,0.000003419525,0.0004645595,0.0001680562,0.0000101381,0.0003439068,0.0003038315],"genre_scores_gemma":[0.9915516,0.00002940415,0.008285861,0.000004365401,0.00001307476,0.00001932418,0.00007549399,0.00001860574,0.00000224111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6772225,"threshold_uncertainty_score":0.6881791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104407410854345,"score_gpt":0.2356914884756691,"score_spread":0.2146474143671256,"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."}}