{"id":"W4386234188","doi":"10.1109/istas55053.2022.10227114","title":"Towards place-based privacy: Challenges and opportunities in the “smart” world","year":2022,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec","keywords":"Internet privacy; Information privacy; Computer science; Computer security; Privacy software; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.009902733,0.0005853008,0.0008479216,0.001867432,0.00588219,0.01724092,0.001849611,0.005587744,0.002900276],"category_scores_gemma":[0.0108591,0.0005927467,0.0008944396,0.004315964,0.02227817,0.03610298,0.01145662,0.009629513,0.0009069364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002619337,"about_ca_system_score_gemma":0.004626902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002534325,"about_ca_topic_score_gemma":0.003040082,"domain_scores_codex":[0.9928471,0.003846071,0.0003246896,0.0006655359,0.001814986,0.0005016114],"domain_scores_gemma":[0.9879569,0.006877779,0.0009756057,0.001951637,0.001303655,0.0009343235],"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":[0.00002494768,0.00003403176,0.002244966,0.0002893671,0.00002454945,0.0001971155,0.006564216,0.001696818,0.0003281255,0.9258631,0.007965975,0.05476672],"study_design_scores_gemma":[0.000004995373,0.00003577341,0.0008506214,0.0004195131,0.0000125292,0.0004671813,0.01087003,0.003146015,0.0003901029,0.8579028,0.1258639,0.00003651814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04073547,0.04754691,0.379941,0.4509673,0.002506255,0.0001396723,0.0003529483,0.0003170995,0.07749349],"genre_scores_gemma":[0.7173803,0.09714614,0.1426412,0.02658181,0.004774933,0.0002159879,0.0004639513,0.0001727005,0.01062302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01724092,"threshold_uncertainty_score":0.05237126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1331711791675959,"score_gpt":0.3131761582745685,"score_spread":0.1800049791069726,"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."}}