{"id":"W4406188539","doi":"10.3389/frsc.2024.1518618","title":"Characterising and reassessing people-centred data governance in cities","year":2025,"lang":"en","type":"article","venue":"Frontiers in Sustainable Cities","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Corporate governance; Political science; Public administration; Regional science; Sociology; Economics; Management","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":[0.0009005847,0.0001322147,0.0002725368,0.0002731502,0.0005528821,0.0004500934,0.0006514345,0.000125939,0.00001757869],"category_scores_gemma":[0.001757635,0.0001572884,0.00001675381,0.0007250698,0.0003392119,0.002196266,0.0007583382,0.0002310114,3.891008e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000672842,"about_ca_system_score_gemma":0.0005053108,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02538789,"about_ca_topic_score_gemma":0.007101104,"domain_scores_codex":[0.9982932,0.0002495266,0.0002601965,0.000388792,0.0002246036,0.0005836457],"domain_scores_gemma":[0.9992341,0.000089104,0.00009875339,0.0004581675,0.00007290534,0.00004695015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002055172,0.0001033446,0.7309509,0.001022223,0.00003136409,0.00009828503,0.07654839,0.000006508908,0.000009531075,0.1248504,0.03521294,0.03096064],"study_design_scores_gemma":[0.0007003013,0.0000114312,0.1582203,0.0003427047,0.00001322794,8.787212e-7,0.6193027,0.0007700766,0.00001688014,0.07164914,0.1486914,0.000280902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669843,0.04114063,0.007026971,0.01348548,0.004060856,0.001967751,0.0001868041,0.0002920127,0.0648552],"genre_scores_gemma":[0.9854576,0.004507393,0.001375575,0.0001532422,0.000130461,0.00003645641,0.00006327943,0.00001083477,0.00826518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5727306,"threshold_uncertainty_score":0.9811021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199480974068923,"score_gpt":0.2814594055330476,"score_spread":0.2615113081261553,"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."}}