{"id":"W7164911006","doi":"10.1080/17153379.2017.12559209","title":"Migrant Encounters: Intimate Labor, the State, and Mobility Across Asia.","year":2017,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Migrant workers","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":[0.0008049219,0.0001780637,0.0001964278,0.000929602,0.003813371,0.002942252,0.0004580565,0.0007378623,0.005277237],"category_scores_gemma":[0.003844214,0.0001607974,0.0001244455,0.001675615,0.003157216,0.003105971,0.004945789,0.001329342,0.0002300163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001082031,"about_ca_system_score_gemma":0.001982375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04057552,"about_ca_topic_score_gemma":0.0780682,"domain_scores_codex":[0.9994447,0.0002833451,0.00002076863,0.00003677417,0.00004002796,0.0001744667],"domain_scores_gemma":[0.9987817,0.0003480984,0.0002959507,0.0000521777,0.00008612466,0.000435866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001222434,0.0001926966,0.438183,0.0001250635,0.0000455938,0.001299227,0.4837558,0.0002448698,0.000196958,0.02466234,0.004170048,0.04700212],"study_design_scores_gemma":[0.000006191058,0.00006012251,0.2235717,0.0002710907,0.00002505392,0.0002819935,0.7624286,0.0002151881,0.00005783833,0.003308652,0.009759033,0.00001456518],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.980835,0.001351835,0.0001159024,0.004175268,0.00003204701,0.00000639756,0.00005943416,0.000003035184,0.0134211],"genre_scores_gemma":[0.998061,0.0009282571,0.00002511594,0.0001115792,0.00001370363,0.000006497116,0.00001964153,0.000001420839,0.0008328866],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04057552,"threshold_uncertainty_score":0.0806787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332920411448697,"score_gpt":0.3023346581278922,"score_spread":0.2890054540134052,"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."}}