{"id":"W4389626402","doi":"10.3390/buildings13123087","title":"Towards Human–Robot Collaboration in Construction: Understanding Brickwork Production Rate Factors","year":2023,"lang":"en","type":"article","venue":"Buildings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Brickwork; Context (archaeology); Engineering; Productivity; Variance (accounting); Operations management; Production (economics); Mathematics; Operations research; Knowledge management; Marketing; Management; Statistics; Computer science; Business; Geography; Civil engineering; Economics; Accounting","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":[0.0001946353,0.0001415255,0.0001351708,0.0003762054,0.0001554424,0.0001015114,0.00006235659,0.0001099186,0.00008230607],"category_scores_gemma":[0.00004487308,0.000151876,0.00003425863,0.001656143,0.00005854025,0.0003854754,0.0000118065,0.0001610033,0.00002785569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405337,"about_ca_system_score_gemma":0.00003101134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003015683,"about_ca_topic_score_gemma":0.00006998886,"domain_scores_codex":[0.9991608,0.00002640224,0.0002578417,0.000212101,0.0001389615,0.0002038967],"domain_scores_gemma":[0.999729,0.00001703533,0.00004515448,0.0001181401,0.00005104313,0.00003959573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004882032,0.00003954062,0.04783697,0.0002882448,0.0001397469,0.00002049847,0.006254493,0.1405708,0.2840261,0.4725406,0.02674148,0.02149272],"study_design_scores_gemma":[0.00393135,0.0002799458,0.1808558,0.001134914,0.0001693069,0.0002244987,0.08277957,0.04307588,0.4290005,0.2046514,0.04996923,0.003927557],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980692,0.00005530036,0.01214613,0.0003918418,0.002863047,0.0002213735,0.000004668481,0.0009894042,0.002636221],"genre_scores_gemma":[0.9988278,0.0000453274,0.0006608344,0.00001070289,0.0002066735,0.00002586483,0.00003399942,0.00002516308,0.0001636568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2678891,"threshold_uncertainty_score":0.6193325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158551655730162,"score_gpt":0.2594312030144419,"score_spread":0.2278456864571403,"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."}}