{"id":"W4408062479","doi":"10.1080/15623599.2025.2468292","title":"Assistant robotic machine for Hong Kong construction industry","year":2025,"lang":"en","type":"article","venue":"International Journal of Construction Management","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Computer science; Manufacturing engineering; Construction engineering; Business; Engineering management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003049682,0.0001537012,0.0002231157,0.0008104345,0.00008447538,0.000158581,0.0002957188,0.0001317077,0.0001773561],"category_scores_gemma":[0.00003592201,0.000159755,0.0001243804,0.0002897997,0.0001117862,0.0003258256,0.00004124246,0.0002485966,0.000004208269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002527529,"about_ca_system_score_gemma":0.00005020676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001422188,"about_ca_topic_score_gemma":8.962308e-7,"domain_scores_codex":[0.9985842,0.00002513731,0.0008178102,0.0001251313,0.0003011579,0.0001465386],"domain_scores_gemma":[0.9988568,0.00004706631,0.0002777914,0.0001300964,0.0006534358,0.00003478401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000203943,0.00002754108,0.00412818,0.0001833835,0.002482605,0.00003181198,0.00003299575,0.02626609,0.003781434,0.4881393,0.005812887,0.4689099],"study_design_scores_gemma":[0.0193246,0.0003353381,0.01825827,0.002949282,0.001929724,0.004570878,0.006240185,0.05328027,0.1019525,0.1976682,0.5911505,0.002340268],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09352247,0.0002316715,0.8416115,0.001411251,0.03475579,0.0004042182,0.00004446409,0.0001610666,0.02785759],"genre_scores_gemma":[0.905529,0.0002069219,0.09290609,0.0002008458,0.0006236833,0.00002480198,0.00001890399,0.00002177585,0.0004679963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8120065,"threshold_uncertainty_score":0.6514621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007298748919717902,"score_gpt":0.2577890660149121,"score_spread":0.2504903170951942,"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."}}