{"id":"W3082594061","doi":"10.24908/ss.v18i3.13426","title":"Eavesmining: A Critical Audit of the Amazon Echo and Alexa Conditions of Use","year":2020,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Panopticon; Amazon rainforest; Echo (communications protocol); Eavesdropping; Scrutiny; Computer security; Computer science; Soundscape; Internet privacy; Data science; Acoustics; Sound (geography); Political science; Law; Politics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004719637,0.00006790975,0.0001571495,0.000005771711,0.0003303154,0.00003187183,0.0002438663,0.00009314604,0.00008510648],"category_scores_gemma":[0.002739896,0.00005737931,0.0001150829,0.0002674934,0.0009376638,0.0002018716,0.0001743509,0.0001488493,0.000002284395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002376744,"about_ca_system_score_gemma":0.0001192729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008571927,"about_ca_topic_score_gemma":0.0004608415,"domain_scores_codex":[0.9990145,0.0002149435,0.0001735155,0.0001733181,0.0002588733,0.0001648258],"domain_scores_gemma":[0.9991063,0.0003971661,0.00009551289,0.0001945151,0.0001238034,0.00008263226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005192029,0.0001903487,0.7251882,0.000324266,0.0001129142,0.000001626649,0.1252188,0.000008285278,0.009297892,0.03300368,0.1056091,0.0009930542],"study_design_scores_gemma":[0.001108755,0.0002272387,0.8603268,0.0001097958,0.0000518888,0.000003969903,0.03481774,0.0007742834,0.002695463,0.01351584,0.08587454,0.0004937169],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813379,0.0003685222,0.0007476199,0.01449315,0.0002920713,0.0003204677,0.0004854419,0.00006148581,0.001893332],"genre_scores_gemma":[0.9986379,0.0004084094,0.0003374676,0.0004336244,0.0001349122,0.000005954099,0.000007304704,0.000005195637,0.00002920847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1351386,"threshold_uncertainty_score":0.3454862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04522908529732757,"score_gpt":0.3172473797460105,"score_spread":0.2720182944486829,"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."}}