{"id":"W4413592974","doi":"10.64628/aam.c3j3msy9d","title":"‘Hey Siri’: Virtual assistants are listening to children and then using the data","year":2022,"lang":"en","type":"preprint","venue":"","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Active listening; Computer science; Business; Internet privacy; Psychology; Communication","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":["scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001164319,0.0003103205,0.0003185609,0.0001716145,0.000884741,0.001301792,0.01102435,0.00009992835,0.00004633961],"category_scores_gemma":[0.000189134,0.0002364116,0.00004171675,0.0002782658,0.00009355598,0.0003381605,0.08447174,0.001022829,0.000005358462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000124104,"about_ca_system_score_gemma":0.0003000878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120004,"about_ca_topic_score_gemma":0.0001452405,"domain_scores_codex":[0.9976002,0.0004303473,0.0003300558,0.0007300471,0.0005645398,0.0003448216],"domain_scores_gemma":[0.9941561,0.0003638132,0.0002246111,0.005099402,0.0000786712,0.00007746442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001465058,0.0006338077,0.09955891,0.0005806912,0.003744501,0.0003047589,0.2807721,0.09536578,0.0002646722,0.2202855,0.1083825,0.1899602],"study_design_scores_gemma":[0.000831598,0.0002165716,0.3830224,0.001695983,0.0001995481,0.0004897919,0.01437793,0.5586976,0.0002361844,0.01351792,0.02220994,0.004504546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5180401,0.0007056758,0.4634924,0.007095809,0.003060753,0.00116527,0.0004606369,0.0007402176,0.00523913],"genre_scores_gemma":[0.8155666,0.00007059627,0.1790786,0.003238196,0.0002691061,0.00003888103,0.0002106686,0.00006645505,0.001460861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4633318,"threshold_uncertainty_score":0.9997349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1141196204620293,"score_gpt":0.3251672565789758,"score_spread":0.2110476361169465,"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."}}