{"id":"W4405649701","doi":"10.1017/dap.2024.69","title":"A feminist framework for urban AI governance: addressing challenges for public–private partnerships","year":2024,"lang":"en","type":"article","venue":"Data & Policy","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Corporate governance; Public administration; Political science; Sociology; Public relations; Business; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001747185,0.0001921872,0.0001993115,0.00009819419,0.0001111645,0.0003544943,0.0007735011,0.0002037243,0.00001215135],"category_scores_gemma":[0.0007191431,0.0001834971,0.00006783427,0.0002041313,0.0000758899,0.0003188205,0.0002442425,0.0002395878,0.0000172183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007700087,"about_ca_system_score_gemma":0.00005713952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001150165,"about_ca_topic_score_gemma":0.00002566956,"domain_scores_codex":[0.9988431,0.000005707955,0.0001907245,0.0003441977,0.0001061668,0.0005101077],"domain_scores_gemma":[0.9986296,0.0003373932,0.00002553422,0.0009288841,0.00001598702,0.00006264156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004666047,0.000006609108,0.00002059461,0.0005828618,0.00006929196,0.000002037182,0.0002172904,0.000004344624,0.00001714027,0.8005608,0.1307682,0.06774612],"study_design_scores_gemma":[0.0001193653,0.00002841335,0.00005231152,0.0002333793,0.00001877803,0.000004002914,0.0002672094,0.01326413,0.0002607575,0.04350718,0.94203,0.0002144757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01050283,0.2340228,0.2810748,0.3314942,0.009257243,0.004708459,0.07620987,0.02445865,0.02827115],"genre_scores_gemma":[0.972781,0.003631536,0.01777345,0.00068494,0.003413668,0.0004492489,0.0009415232,0.000151996,0.0001726442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9622782,"threshold_uncertainty_score":0.7482796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2294294639061542,"score_gpt":0.3598133687209594,"score_spread":0.1303839048148052,"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."}}