{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00414322,0.0002740217,0.0004058859,0.001406751,0.00551595,0.004437536,0.000863194,0.0008847345,0.003007304],"category_scores_gemma":[0.004289075,0.0001959788,0.0002786116,0.001785476,0.005677715,0.002514277,0.00502642,0.001145207,0.0002046817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004977223,"about_ca_system_score_gemma":0.006656226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1269914,"about_ca_topic_score_gemma":0.2670467,"domain_scores_codex":[0.9982293,0.0008208144,0.00004531867,0.000122844,0.0002615828,0.0005201376],"domain_scores_gemma":[0.9981697,0.0008010331,0.0003075986,0.00005908473,0.0002366691,0.0004258858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009330389,0.00008080355,0.05189994,0.0001932618,0.00001938505,0.0002677941,0.9246214,0.00002175174,0.0003490389,0.001928991,0.0007920785,0.01973232],"study_design_scores_gemma":[0.000003374346,0.00003282425,0.0485483,0.0001384965,0.000005915658,0.00004046518,0.9473996,0.00001628957,0.00003311531,0.0001600658,0.003616227,0.000005298778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930541,0.001260872,0.0001074272,0.001053679,0.0000329358,0.00002011508,0.00003179177,0.00000141034,0.004437616],"genre_scores_gemma":[0.9978358,0.0006826491,0.00007803657,0.0002531724,0.00001099019,0.00002396528,0.00002550312,0.000002755604,0.001087216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1269914,"threshold_uncertainty_score":0.2525044,"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."}}