{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002549075,0.00007831605,0.0001414235,0.0001076384,0.0004789243,0.00005759909,0.0005061347,0.00008647839,0.0002792082],"category_scores_gemma":[0.0001420759,0.00007576193,0.00008945623,0.0002189605,0.00007975988,0.0002279996,0.00007174866,0.001012938,0.00005316968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005549013,"about_ca_system_score_gemma":0.001192999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000883294,"about_ca_topic_score_gemma":0.007289305,"domain_scores_codex":[0.9978989,0.0001575381,0.0002193464,0.0001353881,0.0003607593,0.00122801],"domain_scores_gemma":[0.9994667,0.00001957331,0.0002058148,0.0001856873,0.00007186072,0.00005033769],"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":[0.00005166281,0.00009368927,0.02996187,0.00001439213,0.00008575807,0.000001547321,0.003793419,0.00000505072,0.002449939,0.9347636,0.0002813854,0.02849775],"study_design_scores_gemma":[0.0008157449,0.0005099059,0.004376962,0.00005982537,0.00003338158,0.00004448973,0.01517899,0.00002292323,0.0003442847,0.9474159,0.03093404,0.0002635544],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746438,0.001205144,0.0007706636,0.0008957081,0.0004167399,0.0001886454,0.000001997314,0.00003525809,0.02184207],"genre_scores_gemma":[0.9972277,0.0006474871,0.00004206451,0.00003987716,0.0004690088,0.000001615808,0.000001513647,0.000009473329,0.001561233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03065266,"threshold_uncertainty_score":0.4400769,"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."}}