{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003358996,0.0007900925,0.0004266383,0.002416088,0.0007105996,0.00325603,0.000739345,0.0008392973,0.004023945],"category_scores_gemma":[0.01679832,0.0004953421,0.0005518713,0.001814589,0.001440478,0.003290453,0.00197728,0.0007273445,0.0007428299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069493,"about_ca_system_score_gemma":0.001485794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005541838,"about_ca_topic_score_gemma":0.006520884,"domain_scores_codex":[0.997524,0.0009269104,0.0001498815,0.0004812978,0.0006289234,0.0002890094],"domain_scores_gemma":[0.9880729,0.006487072,0.00314089,0.000495764,0.001274422,0.0005287789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002326987,0.0003937784,0.7678348,0.00118421,0.0001784139,0.0006615441,0.02968754,0.03182498,0.00475886,0.009320157,0.00124025,0.1526828],"study_design_scores_gemma":[0.00001319625,0.0003252649,0.8624017,0.0006760007,0.0001053992,0.0004781789,0.04822744,0.06211841,0.001588178,0.01388935,0.01007884,0.00009799241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085742,0.001422292,0.0759393,0.0006784736,0.00004065394,0.0001219895,0.0002160912,0.00008695426,0.01292],"genre_scores_gemma":[0.9912885,0.0005013017,0.007453028,0.00002334104,0.00001101757,0.00005527024,0.00008355831,0.000014899,0.0005691266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005541838,"threshold_uncertainty_score":0.01776427,"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."}}