{"id":"W4404315042","doi":"10.29173/irie536","title":"Conversational Agents and Personal Privacy Harms Case Study","year":2024,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet privacy; Personally identifiable information; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004397818,0.00006877654,0.00008937732,0.00008328082,0.000317314,0.0001809291,0.0003571244,0.00005609951,0.0004323492],"category_scores_gemma":[0.00388446,0.00005035394,0.00004868933,0.0001724716,0.0001751031,0.001463454,0.0001835172,0.000364136,0.00006666845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009451334,"about_ca_system_score_gemma":0.0003555179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538488,"about_ca_topic_score_gemma":0.000137049,"domain_scores_codex":[0.9983785,0.0002031491,0.000362879,0.00008062824,0.0008957722,0.00007907443],"domain_scores_gemma":[0.9987996,0.0004887086,0.0001450059,0.000116942,0.0004092181,0.00004052274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003523781,0.0001520054,0.001522655,0.005372873,0.0003509788,0.00006156363,0.5483255,0.000004587308,0.000004399651,0.2900907,0.0464946,0.1075848],"study_design_scores_gemma":[0.0003095001,0.00005866925,0.001167004,0.002051906,0.00007947427,0.0002740821,0.03834005,0.003931269,0.000008801568,0.007046496,0.9465726,0.0001601176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3717519,0.02867102,0.01492314,0.5183766,0.008471113,0.006477734,0.0007117159,0.0004523135,0.05016441],"genre_scores_gemma":[0.9749225,0.02082357,0.0001235717,0.003757514,0.0001742677,0.00003473856,0.00006073969,0.000003348898,0.00009980467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.900078,"threshold_uncertainty_score":0.4733921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09724793090123471,"score_gpt":0.414695047586919,"score_spread":0.3174471166856843,"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."}}