{"id":"W4413550385","doi":"10.64628/aam.q3tc7w3xn","title":"The dark side of Alexa, Siri and other personal digital assistants","year":2019,"lang":"en","type":"article","venue":"","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Great Rift; Computer science; Physics; Astronomy","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":[0.0001261369,0.0001200969,0.000130063,0.00005391341,0.00007721415,0.000554804,0.0001697024,0.00003514587,0.000141561],"category_scores_gemma":[0.00009053183,0.00008039769,0.00005037538,0.0001731221,0.0001189599,0.001082457,0.0001657404,0.00006380908,0.0003736403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001075609,"about_ca_system_score_gemma":0.000009818313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000090382,"about_ca_topic_score_gemma":0.00006150383,"domain_scores_codex":[0.9992268,0.000001455057,0.0001746147,0.0001928187,0.0001954199,0.0002089082],"domain_scores_gemma":[0.9995803,0.00007382487,0.0001323304,0.0001500634,0.00005687894,0.00000660049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001108166,0.00008153408,0.8007498,0.0002016844,0.00005868065,0.000004911135,0.00005519216,0.000001733206,0.001551868,0.1443268,0.01801922,0.03483776],"study_design_scores_gemma":[0.0009759765,0.00004287307,0.2627259,0.0001857807,0.00002419365,0.000007246706,0.000978231,0.001794857,0.0005119195,0.01062621,0.7215624,0.0005643599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5873734,0.00006009514,0.00003928487,0.0001880273,0.0001004615,0.00009247054,0.000006509245,0.0000334624,0.4121063],"genre_scores_gemma":[0.9821072,0.00000183601,0.00002077632,0.0004766015,0.00009303014,0.000002381296,0.000002562233,0.00001980057,0.01727578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7035432,"threshold_uncertainty_score":0.5349988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131647719536041,"score_gpt":0.2021638989841024,"score_spread":0.1908474217887419,"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."}}