{"id":"W4409405462","doi":"10.1177/01979183251328983","title":"A Fine Balance: Exploring Job Quality in Platform Work Between Migrants and Nonmigrants","year":2025,"lang":"en","type":"article","venue":"International Migration Review","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Quality (philosophy); Balance (ability); Work (physics); Demographic economics; Psychology; Economics; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009254079,0.00008964722,0.0002106903,0.0001230689,0.000103002,0.00009854019,0.0001687664,0.0000469003,0.00008872513],"category_scores_gemma":[0.0002477468,0.0000895697,0.00005912613,0.0004061428,0.00005474898,0.001064164,0.00001870725,0.00009635939,0.00003244237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009534354,"about_ca_system_score_gemma":0.00005895931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001096209,"about_ca_topic_score_gemma":0.01077002,"domain_scores_codex":[0.9989134,0.00006219,0.0005124856,0.0001633614,0.0002095888,0.0001389812],"domain_scores_gemma":[0.9995341,0.0001722958,0.00009910965,0.0000768715,0.00007403045,0.00004353594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001517781,0.00002775785,0.4503088,0.0002651264,0.00002873807,7.797585e-7,0.001597369,0.000004404281,0.00000136135,0.02559065,0.001391692,0.5207682],"study_design_scores_gemma":[0.0004764955,0.000008758646,0.5020244,0.00646882,0.00001883138,2.797795e-7,0.0004195386,0.00002299938,0.00001797444,0.003741613,0.4866047,0.0001956155],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8771928,0.01605201,0.0007081442,0.02773445,0.0005793418,0.0008309179,0.00003605994,0.00007227515,0.07679402],"genre_scores_gemma":[0.9704946,0.02782447,0.00009410277,0.0006130976,0.00007632467,0.0001062088,0.00004920457,0.000003086205,0.000738934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5205725,"threshold_uncertainty_score":0.6009923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0844658866504889,"score_gpt":0.3670074984735581,"score_spread":0.2825416118230691,"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."}}