{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004772957,0.0005829625,0.0001998629,0.0009170491,0.0006549319,0.0007453514,0.0004857226,0.000437803,0.009412171],"category_scores_gemma":[0.0004679836,0.000174003,0.0003714938,0.0007390964,0.0003465682,0.0007485236,0.0006171725,0.0002181647,0.002190554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007766378,"about_ca_system_score_gemma":0.002377772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01075737,"about_ca_topic_score_gemma":0.01254672,"domain_scores_codex":[0.9996062,0.00005122782,0.00003709928,0.0000554611,0.0001967227,0.00005336797],"domain_scores_gemma":[0.9995406,0.00006022257,0.00009493541,0.00004632213,0.0002016072,0.00005628203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002844436,0.000180352,0.03645242,0.003360739,0.00003635136,0.002575705,0.001268051,0.004026349,0.03427645,0.005530365,0.02342571,0.8885832],"study_design_scores_gemma":[0.00003893696,0.001652956,0.160698,0.0008852851,0.0001400482,0.006132541,0.004295905,0.01078777,0.0180985,0.001360213,0.7957965,0.0001132914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5492563,0.09793501,0.1382623,0.003639774,0.002204645,0.00174978,0.001497576,0.002810562,0.202644],"genre_scores_gemma":[0.7582498,0.03559023,0.06120117,0.0004711015,0.0003375326,0.0003539902,0.001221214,0.0001241604,0.1424508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01075737,"threshold_uncertainty_score":0.03148687,"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."}}