{"id":"W7010568788","doi":"","title":"Intimacy, casualization and the formation of metis in a mobile era: a study of married female migrants in Shenzhen, China","year":2019,"lang":"en","type":"article","venue":"CUHK Digital Repository (Chinese University of Hong Kong)","topic":"China's Global Influence and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metis; China; Population; Immigration; Ethnic group","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":[0.0005720265,0.0002682948,0.0003445251,0.001360254,0.003519622,0.001963172,0.0006973479,0.0006584884,0.002144713],"category_scores_gemma":[0.001637846,0.0003966561,0.0002630231,0.00167206,0.001578723,0.001086982,0.001889375,0.0009468434,0.0002394212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100441,"about_ca_system_score_gemma":0.001762193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05602062,"about_ca_topic_score_gemma":0.1198909,"domain_scores_codex":[0.9996495,0.00009824632,0.0000302087,0.00003560154,0.00004470248,0.0001418261],"domain_scores_gemma":[0.9988008,0.0001881692,0.0003820707,0.00004826269,0.0001058198,0.0004748689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007321993,0.0001852401,0.8535456,0.00002548154,0.00001980912,0.0005359616,0.1409403,0.00002130779,0.0003523739,0.000289717,0.00009840752,0.003912565],"study_design_scores_gemma":[0.000004603902,0.0001206556,0.7283029,0.00001867349,0.0000147818,0.0001915632,0.2705342,0.00008942034,0.00005313275,0.00006776406,0.0005926593,0.000009688169],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996252,0.00003584634,0.00000687005,0.00003741536,0.000001717255,0.000003223353,0.00001286102,3.218207e-7,0.0002765183],"genre_scores_gemma":[0.9994705,0.00006071212,0.00001433034,0.00001952987,0.000002606793,0.00000543223,0.00002059948,6.166031e-7,0.0004056434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05602062,"threshold_uncertainty_score":0.1113891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00482225805800406,"score_gpt":0.2352245273373803,"score_spread":0.2304022692793762,"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."}}