{"id":"W3176655593","doi":"10.24908/ss.v19i2.14409","title":"Data Trusts and the Governance of Smart Environments: Lessons from the Failure of Sidewalk Labs’ Urban Data Trust","year":2021,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Accountability; Data governance; CLARITY; Corporate governance; Relation (database); Public administration; Public relations; Redevelopment; Business; Computer security; Political science; Law; Computer science; Data quality; Finance; Marketing; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02276383,0.0002763336,0.000482655,0.0008639387,0.009194988,0.01196773,0.001482672,0.004181438,0.002698949],"category_scores_gemma":[0.03538268,0.0004708231,0.0004341003,0.001311344,0.04540031,0.0149837,0.008743863,0.008797073,0.0005107601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0221082,"about_ca_system_score_gemma":0.01924488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1044258,"about_ca_topic_score_gemma":0.1022909,"domain_scores_codex":[0.9847398,0.01071329,0.0003552928,0.00090779,0.001731706,0.001551914],"domain_scores_gemma":[0.9544535,0.02606302,0.003047982,0.006094045,0.006407454,0.003933979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002247448,0.00001481994,0.001942541,0.00002344794,0.000008716715,0.0001635867,0.01966202,0.001234191,0.00006420886,0.9607544,0.008421523,0.007688093],"study_design_scores_gemma":[0.00005121906,0.00004572218,0.002366245,0.0002137431,0.00001769142,0.0001466978,0.03544089,0.005980818,0.0005675349,0.7938505,0.1612535,0.00006542539],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1690886,0.002763784,0.05799996,0.5758553,0.0003838523,0.00007417701,0.0001080017,0.0001488352,0.1935776],"genre_scores_gemma":[0.9878926,0.000706671,0.002206109,0.003936372,0.00006327547,0.0000290021,0.00002283041,0.00004844725,0.005094646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8955742,"threshold_uncertainty_score":0.2076359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03991974045954436,"score_gpt":0.2927593476487086,"score_spread":0.2528396071891643,"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."}}