{"id":"W6957865028","doi":"10.60528/112z87","title":"Gendered dynamics of international labour migration: migrant women working in Pakistan","year":2023,"lang":"en","type":"article","venue":"Middlesex University Research Repository (Middlesex University Of London)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Burmese; Afghan; Population; Domestic work; Convention; Informal sector; Migrant workers","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009992198,0.0003005152,0.0002392864,0.001317674,0.004213827,0.002202377,0.0005582218,0.000799133,0.009660823],"category_scores_gemma":[0.001370052,0.0002084166,0.0001979112,0.002790374,0.001866915,0.002815242,0.003236475,0.001207994,0.0005411898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002204616,"about_ca_system_score_gemma":0.003319306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04331666,"about_ca_topic_score_gemma":0.05499564,"domain_scores_codex":[0.9994449,0.0001232552,0.0000287371,0.00004473802,0.00008713463,0.0002712467],"domain_scores_gemma":[0.9991071,0.0002413433,0.000210163,0.00001711446,0.0001244,0.0002998903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002554237,0.0002488369,0.3510002,0.001163268,0.00003033244,0.003707725,0.4868301,0.0001335044,0.0004497058,0.01100134,0.02071334,0.1244662],"study_design_scores_gemma":[0.0000105945,0.0001259373,0.2281855,0.0008678113,0.00001459159,0.001362819,0.713083,0.00004517405,0.00006474996,0.0007613503,0.05545058,0.00002796955],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8971347,0.02934386,0.0002673256,0.01973528,0.0005534615,0.0001365608,0.001443757,0.00002283078,0.0513623],"genre_scores_gemma":[0.9623119,0.02896411,0.0001473513,0.001406054,0.0001944642,0.0001003659,0.0004174789,0.00001065872,0.006447582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04331666,"threshold_uncertainty_score":0.08612907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04318023428326777,"score_gpt":0.3071463792322927,"score_spread":0.2639661449490249,"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."}}