{"id":"W4391824453","doi":"10.18357/anthropologica65220232621","title":"Hopefully a Good Life: Cosmopolitan Chinese Migrant Families in Urban Italy","year":2024,"lang":"en","type":"article","venue":"Anthropologica","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Genealogy; Geography; History; Sociology; Ethnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001199879,0.0005150379,0.0003774044,0.0008609212,0.01155672,0.001947959,0.0006508097,0.0007217866,0.00239833],"category_scores_gemma":[0.001195317,0.0003580825,0.0002483279,0.000964475,0.004532728,0.001286527,0.002385746,0.001355378,0.0001424211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003080623,"about_ca_system_score_gemma":0.002604496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06942063,"about_ca_topic_score_gemma":0.1255566,"domain_scores_codex":[0.9994867,0.000220263,0.00001524406,0.00005100746,0.00003881772,0.0001879516],"domain_scores_gemma":[0.9995099,0.0001002985,0.0001045839,0.00003119378,0.00004063662,0.000213377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004926065,0.00007470048,0.03286168,0.00003457257,0.0000128373,0.004191369,0.9549192,0.00002721187,0.0005198798,0.001552936,0.001247325,0.004509047],"study_design_scores_gemma":[0.000004506558,0.00004737635,0.02546677,0.00004790091,0.00001375184,0.000838241,0.9691433,0.00007070982,0.0001059613,0.000244373,0.004000637,0.00001649929],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978558,0.0001681302,0.00002423298,0.0005666639,0.00001155556,0.000007206636,0.000007772934,0.000001731507,0.00135694],"genre_scores_gemma":[0.9986188,0.0002755193,0.00002625138,0.0001610534,0.000008368143,0.000009504521,0.00000975061,0.000002273336,0.0008885224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06942063,"threshold_uncertainty_score":0.1380332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02138408337261376,"score_gpt":0.3248353682017516,"score_spread":0.3034512848291379,"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."}}