{"id":"W4408020564","doi":"10.1016/j.sftr.2025.100516","title":"The unexpected reason firms should institute policies to remove email signatures: Quantifying human mortality costs of email signature-based reputation signaling","year":2025,"lang":"en","type":"article","venue":"Sustainable Futures","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Signature (topology); Reputation; Business; Internet privacy; Computer security; Computer science; Political science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.008196786,0.0003081861,0.0003578374,0.001223863,0.001256573,0.002763689,0.001093762,0.001608375,0.004836245],"category_scores_gemma":[0.06911814,0.000230619,0.0003048324,0.001525008,0.001345198,0.002695998,0.0007661997,0.001678048,0.0007646803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006755252,"about_ca_system_score_gemma":0.004506328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03804724,"about_ca_topic_score_gemma":0.03791552,"domain_scores_codex":[0.9928935,0.002558823,0.0003971586,0.0004922621,0.002469519,0.001188758],"domain_scores_gemma":[0.8663907,0.07505306,0.02983832,0.008350229,0.01749311,0.002874536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002175876,0.001594231,0.5898204,0.0006475083,0.0003984153,0.000912918,0.002496495,0.09307279,0.007303124,0.06404661,0.02410978,0.2134219],"study_design_scores_gemma":[0.0002058476,0.001986747,0.7308245,0.0003024183,0.000536265,0.0005651325,0.0117261,0.1615352,0.01274474,0.04255258,0.03669161,0.0003287513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9594438,0.0004271652,0.006004881,0.003100611,0.00005740984,0.0003179203,0.001061791,0.0001041279,0.02948239],"genre_scores_gemma":[0.995595,0.00008940733,0.001400582,0.0002353733,0.00001918315,0.0000493443,0.0002031633,0.00001020838,0.00239771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03804724,"threshold_uncertainty_score":0.07565153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04546568260228846,"score_gpt":0.3935440941925663,"score_spread":0.3480784115902779,"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."}}