{"id":"W4409950976","doi":"10.1016/b978-0-443-29861-5.00027-5","title":"Robotic construction and inspection: automation and efficiency in the building process","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Automation; Process (computing); Process automation system; Computer science; Manufacturing engineering; Engineering; Architectural engineering; Construction engineering; Mechanical engineering; Operating 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":[0.0001102417,0.000181319,0.0001723036,0.0002119201,0.0001096424,0.00007841786,0.00005831708,0.0001810445,0.000008989346],"category_scores_gemma":[0.00000785568,0.0001520021,0.00002641033,0.00003470763,0.000121158,0.0000703304,0.00001096644,0.0003186259,0.000001718234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005394412,"about_ca_system_score_gemma":0.00002861116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.864164e-7,"about_ca_topic_score_gemma":0.0000211139,"domain_scores_codex":[0.9993476,0.00001272806,0.0002443753,0.0001836458,0.0001184591,0.00009324701],"domain_scores_gemma":[0.9997425,0.00003272347,0.00005356286,0.000113645,0.00003824219,0.00001934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000155419,9.188758e-7,0.00002804691,0.0001772563,0.00001271224,0.000001114003,0.0003478946,0.0001728032,0.00001859415,0.06321197,0.00001134852,0.9360158],"study_design_scores_gemma":[0.00270576,0.0002716584,0.002950155,0.008121903,0.0008896192,0.002531199,0.002455864,0.1613513,0.0008583046,0.316808,0.4977746,0.003281597],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002301892,0.00146563,0.001375079,0.00005155274,0.0006064908,0.0003930019,0.000002847602,0.0002272667,0.9935762],"genre_scores_gemma":[0.7481736,0.001132354,0.003328645,0.0002150739,0.0007175502,0.000252771,0.00002952858,0.0001136461,0.2460369],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9327342,"threshold_uncertainty_score":0.6198465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006090511134576725,"score_gpt":0.2118869250488201,"score_spread":0.2057964139142433,"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."}}