{"id":"W2904762717","doi":"10.2139/ssrn.3266249","title":"Gender Wage Gap in Online Gig Economy and Gender Differences in Job Preferences","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Gig economy; Labour economics; Wage; Gender pay gap; Demographic economics; Economics; Business; Psychology; Labour law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0007667913,0.0001157561,0.0002263625,0.0006559588,0.0005622831,0.001579922,0.0002544529,0.0005141522,0.02200321],"category_scores_gemma":[0.003926563,0.0001110678,0.0001998183,0.0005761871,0.0004548366,0.0009414784,0.0007960007,0.0007012152,0.001789444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002296899,"about_ca_system_score_gemma":0.000312558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002415577,"about_ca_topic_score_gemma":0.004889587,"domain_scores_codex":[0.9994755,0.0001020157,0.0000253917,0.00005935887,0.00008585233,0.0002518246],"domain_scores_gemma":[0.9969261,0.001219307,0.0006032104,0.0001087348,0.0001744535,0.0009681073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001038803,0.0009902949,0.9660491,0.00004035318,0.00004432555,0.0004148012,0.007629787,0.0001195616,0.001197902,0.003720268,0.001687897,0.01706687],"study_design_scores_gemma":[0.00001279685,0.0001198704,0.9802794,0.00002061844,0.00001169645,0.0001134049,0.01685367,0.0001738116,0.0001486166,0.001003489,0.001255624,0.000006944459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952143,0.00009737068,0.00003877244,0.000232636,0.00001469399,0.000002944933,0.00008729966,0.000001127191,0.004310776],"genre_scores_gemma":[0.9984225,0.00002773939,0.000009890302,0.00004611683,0.000007652655,0.000002216382,0.00004987346,0.000001892996,0.001432217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02200321,"threshold_uncertainty_score":0.07360804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0417895943877494,"score_gpt":0.2801952861738319,"score_spread":0.2384056917860825,"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."}}