{"id":"W4412870809","doi":"10.24908/pceea.2025.19642","title":"Methods for Evaluating Engineering Occupational Exposure to Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","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":"Computer science; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2007512,0.002338254,0.003488617,0.0324941,0.001832108,0.006202562,0.003306546,0.002073512,0.006823192],"category_scores_gemma":[0.3766695,0.001271242,0.007490777,0.02368661,0.003310822,0.005044512,0.005529807,0.00170209,0.0009532197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005520949,"about_ca_system_score_gemma":0.01461628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003738848,"about_ca_topic_score_gemma":0.008644035,"domain_scores_codex":[0.7476514,0.1376542,0.06283786,0.008874694,0.04175764,0.001224368],"domain_scores_gemma":[0.4267222,0.4438018,0.06589358,0.01360091,0.04885153,0.001129962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008465839,0.0002693742,0.05826678,0.1870321,0.009171218,0.0001923848,0.01080986,0.001273395,0.0009126245,0.01132305,0.01025374,0.7096488],"study_design_scores_gemma":[0.001667776,0.005256085,0.1498765,0.4037933,0.03606121,0.001473883,0.03607628,0.005963754,0.007552541,0.05502375,0.2961768,0.001078306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.06828828,0.4278041,0.358439,0.009258334,0.002129878,0.06555435,0.0233549,0.000898579,0.04427247],"genre_scores_gemma":[0.2292682,0.1186641,0.4769226,0.003162381,0.0005151127,0.1620422,0.006312921,0.0002055794,0.002907014],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2007512,"threshold_uncertainty_score":0.985616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0907786267996178,"score_gpt":0.5112361289515681,"score_spread":0.4204575021519503,"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."}}