{"id":"W2157890287","doi":"10.29173/irie118","title":"Using a Social-Ethical Framework to Evaluate Location-Based Services in an Internet of Things World","year":2014,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internet of Things; The Internet; Control (management); Computer science; Tracking (education); Element (criminal law); Internet privacy; Core (optical fiber); World Wide Web; Computer security; Data science; Business; Telecommunications; Sociology; Political science; Law; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0111565,0.00008141294,0.0001818378,0.0001983192,0.0001476305,0.00007245983,0.001031652,0.0001822489,0.0001013198],"category_scores_gemma":[0.00941804,0.0000667397,0.00005420329,0.0005990092,0.0001576407,0.00104116,0.0001410172,0.000726253,0.00002217984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001454653,"about_ca_system_score_gemma":0.0003564763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00339652,"about_ca_topic_score_gemma":0.001420398,"domain_scores_codex":[0.9973089,0.0006896776,0.0006854455,0.00008592132,0.00111777,0.0001122993],"domain_scores_gemma":[0.9970167,0.0008272682,0.0005559648,0.0002184827,0.001338341,0.00004325802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008747843,0.00007477938,0.0007059755,0.004356935,0.00002611487,6.345481e-8,0.1070394,0.0008226124,0.00003325818,0.8490518,0.0004008322,0.03740072],"study_design_scores_gemma":[0.001070229,0.0002190744,0.007497113,0.04815411,0.0001396635,0.000001367943,0.008537896,0.3532214,0.001554659,0.3272907,0.2515416,0.0007721714],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05290762,0.001293882,0.6324186,0.2913496,0.001668219,0.00236191,0.00004806557,0.0001177455,0.01783429],"genre_scores_gemma":[0.9559703,0.000511632,0.007623161,0.03566613,0.0001274798,0.00002598077,0.00006110815,0.000005157871,0.000009058319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9030627,"threshold_uncertainty_score":0.998926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08650346475933648,"score_gpt":0.4332482449508175,"score_spread":0.346744780191481,"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."}}