{"id":"W4360855260","doi":"10.1080/0966369x.2023.2189570","title":"Self-driven women: gendered mobility, employment, and the lift of the driving ban in Saudi Arabia","year":2023,"lang":"en","type":"article","venue":"Gender Place & Culture","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Harvard Kennedy School","keywords":"Socioeconomic status; Social mobility; Economic mobility; Demographic economics; Opposition (politics); Business; Lift (data mining); Political science; Economic growth; Economics; Sociology; Politics; Demography; Poverty; Population","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":[0.0008566608,0.00008959507,0.0001248693,0.00002786126,0.000336968,0.00006219898,0.0002709324,0.0001048192,0.00006904377],"category_scores_gemma":[0.0001356913,0.00005277451,0.00005254705,0.0005935241,0.0002132338,0.00008091318,0.0001073285,0.000178669,0.000006711296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007683183,"about_ca_system_score_gemma":0.00009506233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001611799,"about_ca_topic_score_gemma":0.0176059,"domain_scores_codex":[0.9987818,0.0003030363,0.0001667262,0.0001829137,0.0003055793,0.0002599731],"domain_scores_gemma":[0.9995155,0.00009212751,0.00008589529,0.0002002152,0.00004818722,0.0000580365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000200871,0.00005201107,0.04124716,0.00003561275,0.00004673107,0.000001240636,0.9083672,0.0007444927,0.0002203642,0.03899474,0.01011795,0.0001524012],"study_design_scores_gemma":[0.002716768,0.00004084065,0.2247791,0.00005339014,0.00005203579,0.000003131005,0.5017142,0.0130456,0.00008112051,0.01183126,0.2452228,0.0004598279],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915062,0.0001386441,0.00000991991,0.003021375,0.0001544639,0.0003832094,0.00001249719,0.0000758063,0.004697876],"genre_scores_gemma":[0.9944899,0.0004622294,0.00004892583,0.0003432903,0.00006920574,0.00003879693,0.000004066258,0.000007041905,0.004536521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.406653,"threshold_uncertainty_score":0.9824502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844072794833254,"score_gpt":0.2758704693663712,"score_spread":0.2574297414180386,"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."}}