{"id":"W4414567775","doi":"10.31235/osf.io/bsmzy_v1","title":"Unregulated, Unknown and Highly Necessary: Grey Market Nannies","year":2025,"lang":"en","type":"article","venue":"","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Devaluation; Inequality; Work (physics); Wage inequality; Wage; Public policy; Care work; Certification; Private sector","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002424136,0.00005174896,0.00007476581,0.0000542764,0.0002667969,0.0001988696,0.00008010645,0.00005520176,0.0002549111],"category_scores_gemma":[0.0000245826,0.00004661398,0.00002051339,0.0002071886,0.0001500003,0.0007485278,0.00001472641,0.00003356969,0.0000172781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000019788,"about_ca_system_score_gemma":0.00006106966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003800259,"about_ca_topic_score_gemma":0.001382545,"domain_scores_codex":[0.9995715,0.00003099547,0.0001070247,0.00009318495,0.00006131986,0.0001359648],"domain_scores_gemma":[0.9997951,0.00006347283,0.00001619193,0.00005326632,0.00003006401,0.00004185178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001376284,0.00001492535,0.002371029,0.00001351241,0.00001548403,4.415613e-7,0.001161535,0.000001960479,0.000001386209,0.8646713,0.02423001,0.1075046],"study_design_scores_gemma":[0.0001924981,0.00001089054,0.006095351,0.00003135405,0.000007587482,1.684312e-7,0.0020505,0.00008213577,0.00007720162,0.0355439,0.9558171,0.00009129995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06066837,0.0001510678,0.0002149535,0.007743916,0.0001640438,0.0001008483,0.000001694703,0.00008832701,0.9308668],"genre_scores_gemma":[0.9246209,0.0001803285,0.00008135855,0.000433939,0.00002051651,0.000004378648,0.000002856339,0.000001652523,0.07465402],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9315871,"threshold_uncertainty_score":0.2791097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007316271148434142,"score_gpt":0.2473053939039876,"score_spread":0.2399891227555535,"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."}}