{"id":"W2116143626","doi":"10.1061/9780784413616.256","title":"Automated Deviation Analysis for As-Built Status Assessment of Steel Assemblies and Pipe Spools","year":2014,"lang":"en","type":"article","venue":"Computing in Civil and Building Engineering (2014)","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rework; Process (computing); Fabrication; Task (project management); Engineering; Computer science; Automation; Reliability engineering; Systems engineering; Mechanical engineering; Embedded system","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":[0.0008110413,0.0001333732,0.0002874586,0.0001937857,0.00008296014,0.00007998504,0.0000761491,0.00005908491,0.0000140511],"category_scores_gemma":[0.000134373,0.0001149071,0.00004291304,0.0002756377,0.00001930928,0.00009965357,0.00001838128,0.00009090821,7.03333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007593797,"about_ca_system_score_gemma":0.00001539005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000496064,"about_ca_topic_score_gemma":0.0004569282,"domain_scores_codex":[0.9990748,0.00004557654,0.0002512829,0.0002362261,0.0001274555,0.0002646281],"domain_scores_gemma":[0.9991978,0.0004970859,0.00009040275,0.00009792225,0.00004227136,0.00007453311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000364787,0.000005731958,0.7050596,0.0001181656,0.00004419332,4.930812e-7,0.00009650645,0.2879486,0.0008844103,0.00009713125,0.00003257231,0.005708922],"study_design_scores_gemma":[0.0001205387,0.00004077223,0.5031851,0.00004109461,0.000021662,0.000001179208,0.00001691299,0.496265,0.00005349044,0.00002228568,0.0001519288,0.00008003842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537503,0.0004340552,0.04530764,0.00001836558,0.0001153627,0.00009296119,0.00001498559,0.0001300918,0.0001362019],"genre_scores_gemma":[0.986929,0.0000547014,0.01289853,0.00001434138,0.00003917897,9.44311e-7,0.00004800315,0.000004737914,0.00001054223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2083164,"threshold_uncertainty_score":0.4685776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318801403689101,"score_gpt":0.2586488994453142,"score_spread":0.2454608854084231,"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."}}