{"id":"W4283073738","doi":"10.3390/buildings12060841","title":"Predicting Construction Workers’ Intentions to Engage in Unsafe Behaviours Using Machine Learning Algorithms and Taxonomy of Personality","year":2022,"lang":"en","type":"article","venue":"Buildings","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Personality; Machine learning; Decision tree; Support vector machine; Psychology; Artificial neural network; Artificial intelligence; Social psychology; Computer science; Applied psychology; Big Five personality traits","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003337174,0.00009714824,0.0002122426,0.0003146905,0.001643216,0.00000610388,0.0001026162,0.00006609568,0.0003966116],"category_scores_gemma":[0.0006753959,0.0001087619,0.00003987597,0.0005651735,0.00007045858,0.0001031379,0.0003085765,0.001428541,0.000001689741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004159154,"about_ca_system_score_gemma":0.0004033716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468512,"about_ca_topic_score_gemma":0.0004998557,"domain_scores_codex":[0.9973875,0.001008957,0.0005094436,0.0002704188,0.0004125976,0.0004110533],"domain_scores_gemma":[0.9986629,0.0007149241,0.0002044653,0.0001002109,0.0001402223,0.0001772809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001817012,0.00003680596,0.9912184,0.00009213442,0.00000618885,0.000002208724,0.001791044,0.0004088394,0.0003613223,0.0003228322,0.00002204778,0.005556439],"study_design_scores_gemma":[0.001055489,0.0001866374,0.9550864,0.0002418816,0.00001630735,0.00001535809,0.01908758,0.02026477,0.00002537001,0.00007275161,0.003800162,0.0001472854],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956548,0.0001089871,0.001606756,0.0006665858,0.0002777615,0.001075666,0.0001172394,0.0000325794,0.0004596465],"genre_scores_gemma":[0.9819367,0.00001067411,0.01740282,0.0001043478,0.00005921656,0.0002998587,0.0000357572,0.00001572411,0.0001349268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03613203,"threshold_uncertainty_score":0.9996565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1290321912060525,"score_gpt":0.4275018308827584,"score_spread":0.298469639676706,"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."}}