{"id":"W4399639892","doi":"10.1061/jcemd4.coeng-15115","title":"Automated Detection and Segmentation of Mechanical, Electrical, and Plumbing Components in Indoor Environments by Using the YOLACT++ Architecture","year":2024,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Architecture; Computer science; Segmentation; Artificial intelligence; Geography","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":[0.0002265577,0.00008371629,0.0001306612,0.0002548754,0.00003234074,0.00005155374,0.00002028794,0.00005219107,8.688494e-7],"category_scores_gemma":[0.000005574229,0.00006818991,0.00002057516,0.0001586651,0.00001628981,0.0001071318,0.00001328755,0.0001732315,6.61918e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006036741,"about_ca_system_score_gemma":0.000002109968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009636964,"about_ca_topic_score_gemma":6.801715e-7,"domain_scores_codex":[0.9994097,0.00002310771,0.0002925957,0.00007322635,0.0001222949,0.00007906767],"domain_scores_gemma":[0.999839,0.00003112904,0.00005920511,0.00003438694,0.000006326816,0.00002994415],"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":[0.00004519821,0.00001182465,0.0001237381,0.0004057727,0.0002383126,0.00001189756,0.0002298429,0.083757,0.762425,0.00008256241,0.00002954185,0.1526393],"study_design_scores_gemma":[0.0008090782,0.0001290478,0.001263089,0.000397426,0.00009322401,0.000539851,0.0002586825,0.9739537,0.02072329,0.00003902717,0.001665384,0.0001281985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8839474,0.000892372,0.1145735,0.000009787756,0.0004011015,0.000130256,0.000001177142,0.00003898935,0.000005386399],"genre_scores_gemma":[0.9985371,0.0005101133,0.0009031171,0.000001956357,0.00003261499,0.000002599176,3.491432e-7,0.00001030177,0.000001910389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8901967,"threshold_uncertainty_score":0.2780704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008282077559180461,"score_gpt":0.2036175280402207,"score_spread":0.1953354504810402,"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."}}