{"id":"W2996307079","doi":"10.2139/ssrn.3426871","title":"Making IoT Worthy of Human Trust","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Internet of Things; Internet privacy; Computer security; Business; Computer science; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007166635,0.0003354744,0.0003780967,0.0009123211,0.004138329,0.01177935,0.001171613,0.005175979,0.006222363],"category_scores_gemma":[0.02144372,0.0003716341,0.0005335125,0.0006306039,0.01560696,0.01588171,0.008772742,0.005935459,0.00244366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710361,"about_ca_system_score_gemma":0.004171203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00154926,"about_ca_topic_score_gemma":0.001553972,"domain_scores_codex":[0.9929858,0.002940339,0.000315942,0.0006189545,0.001914252,0.001224756],"domain_scores_gemma":[0.9811198,0.006194315,0.002561855,0.004806077,0.002396825,0.002921025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001159605,0.0001078562,0.004871484,0.0001246688,0.00006312432,0.0005922755,0.007954835,0.001271287,0.002395911,0.9180937,0.02051321,0.04389574],"study_design_scores_gemma":[0.00002228404,0.00007396958,0.002087014,0.000269701,0.00003403079,0.0003635612,0.006741281,0.001340399,0.00153315,0.7432896,0.244204,0.00004104286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08396905,0.00245221,0.09105574,0.1683333,0.002530283,0.0001621503,0.0001082663,0.0002433379,0.6511457],"genre_scores_gemma":[0.9635173,0.000844188,0.004561253,0.009964555,0.0005957099,0.00007201381,0.0000415981,0.00009476316,0.02030864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01177935,"threshold_uncertainty_score":0.03790128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02515595128100464,"score_gpt":0.3222845332713944,"score_spread":0.2971285819903898,"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."}}