{"id":"W4412559432","doi":"10.1061/ajrua6.rueng-1539","title":"Establishment of Risk Management Groups in Construction Based on Workers’ Age and Accident Probability Using Unsupervised Learning","year":2025,"lang":"en","type":"article","venue":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Accident (philosophy); Unsupervised learning; Risk management; Computer science; Artificial intelligence; Business; Finance","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":[0.002952492,0.0007022678,0.0007855214,0.004058595,0.0007520871,0.0013447,0.0008869569,0.0007856349,0.0009618038],"category_scores_gemma":[0.01105464,0.0003324157,0.001052149,0.001625803,0.0005598764,0.001118799,0.001633993,0.0007951262,0.0003703223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008950833,"about_ca_system_score_gemma":0.001761573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008593136,"about_ca_topic_score_gemma":0.008813408,"domain_scores_codex":[0.9976752,0.0005876414,0.0002784632,0.0007635508,0.0004339133,0.0002612544],"domain_scores_gemma":[0.9943036,0.002354316,0.001304912,0.0004105174,0.00124543,0.000381258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005996638,0.0008539135,0.7739227,0.0002197542,0.0003080647,0.0002162589,0.003361082,0.03100605,0.002965098,0.00159014,0.002193717,0.1827636],"study_design_scores_gemma":[0.00007908222,0.0004581246,0.4345058,0.0001588423,0.0002340186,0.0001913469,0.004100044,0.5464128,0.003107478,0.00780929,0.002788311,0.0001549626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8963829,0.0002150013,0.09980787,0.000199476,0.00003552788,0.000534774,0.0007541892,0.0003384207,0.001731791],"genre_scores_gemma":[0.9559152,0.00008291111,0.04160999,0.00003953135,0.00002252171,0.0003619844,0.001371216,0.00002078774,0.0005759131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008593136,"threshold_uncertainty_score":0.01708627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038795332859264,"score_gpt":0.3181909314868648,"score_spread":0.2978029781582722,"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."}}