{"id":"W7093306288","doi":"10.1016/j.autcon.2025.106618","title":"Integrated framework of computer vision and fuzzy systems for lean workspace management in construction","year":2025,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Workspace; Dashboard; Workflow; Fuzzy logic; Index (typography); Fuzzy control system; Workflow management system; Inference engine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001398819,0.0007360426,0.0005033113,0.001485307,0.0006628559,0.001976659,0.001323242,0.0009264678,0.002349841],"category_scores_gemma":[0.001983837,0.0002971888,0.001132119,0.0007944722,0.001033453,0.001387801,0.001053611,0.001056231,0.0005552295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002108208,"about_ca_system_score_gemma":0.002301722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01552391,"about_ca_topic_score_gemma":0.01158023,"domain_scores_codex":[0.9991285,0.0002292607,0.00006052315,0.0001920474,0.0003345839,0.00005515001],"domain_scores_gemma":[0.9993384,0.0002526015,0.00006870979,0.00005432789,0.0002548262,0.00003105913],"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":[0.0001186807,0.0001694648,0.002416068,0.0003687551,0.0001340462,0.000342411,0.0006503386,0.4704766,0.01487572,0.2456512,0.003164212,0.2616325],"study_design_scores_gemma":[0.00001727603,0.0001128433,0.0008051352,0.00009755343,0.00004320221,0.0001094177,0.0001128204,0.9221283,0.003276879,0.06279287,0.01045951,0.00004416552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00286306,0.0002423848,0.9923313,0.0001630482,0.00002946536,0.00005793042,0.00003324711,0.0002780032,0.004001628],"genre_scores_gemma":[0.276849,0.000589515,0.7185237,0.0001566705,0.00006500959,0.0003160144,0.0001384067,0.00005295823,0.003308766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01552391,"threshold_uncertainty_score":0.0308671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005108952100332462,"score_gpt":0.2316607669243203,"score_spread":0.2265518148239878,"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."}}