{"id":"W4391514538","doi":"10.1016/j.shaw.2024.01.006","title":"Safety Data Sheets as a Hazard Communication Tool: An Assessment of Suitability and Readability","year":2024,"lang":"en","type":"article","venue":"Safety and Health at Work","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Toronto Metropolitan University","keywords":"Readability; Hazard; Hazard analysis; Risk assessment; Computer science; Forensic engineering; Data science; Risk analysis (engineering); Engineering; Medicine; Reliability engineering; Computer security; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01295982,0.000683192,0.0007486335,0.005111901,0.0004938375,0.001655227,0.0006941325,0.0007794533,0.003387912],"category_scores_gemma":[0.05228866,0.0002915382,0.001546958,0.002434158,0.0006087637,0.002213733,0.001962635,0.0009105392,0.001013942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008456333,"about_ca_system_score_gemma":0.001157733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005860676,"about_ca_topic_score_gemma":0.001108937,"domain_scores_codex":[0.9883918,0.003269843,0.002833365,0.0004924245,0.00466302,0.0003495265],"domain_scores_gemma":[0.9360408,0.03341288,0.01159099,0.002354781,0.01452004,0.002080413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008813787,0.001299842,0.8298746,0.001021327,0.0002711707,0.0005500418,0.009082284,0.001183059,0.005880142,0.0005504059,0.00589452,0.1435113],"study_design_scores_gemma":[0.0001027584,0.002462662,0.9664384,0.0003704072,0.0001312919,0.000793605,0.006885281,0.004788733,0.006629645,0.0009043352,0.01036985,0.0001230949],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987152,0.0001831065,0.004103132,0.0002044511,0.00005976129,0.001120734,0.0009674979,0.0001651504,0.006044193],"genre_scores_gemma":[0.9748874,0.000242354,0.01969262,0.0001436568,0.00003719636,0.001725932,0.001531251,0.00004921776,0.001690358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01295982,"threshold_uncertainty_score":0.0685389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08391962878383119,"score_gpt":0.4451585629889541,"score_spread":0.3612389342051229,"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."}}