{"id":"W2952158612","doi":"10.1177/0891243219854436","title":"Gender Differences in the Provision of Job-Search Help","year":2019,"lang":"en","type":"article","venue":"Gender & Society","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Preference; Inequality; Set (abstract data type); Perspective (graphical); General Social Survey; Psychology; Demographic economics; Social psychology; China; Survey data collection; Economics; Political science; Computer science; Microeconomics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00104924,0.0001551212,0.0002192239,0.0006442834,0.0004889449,0.0006793724,0.0002830256,0.0003055799,0.008236121],"category_scores_gemma":[0.007113857,0.0001215982,0.0001666607,0.0004533092,0.0003208634,0.0005320908,0.00056601,0.0003307636,0.0007884612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004024069,"about_ca_system_score_gemma":0.0004565537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005300861,"about_ca_topic_score_gemma":0.01049747,"domain_scores_codex":[0.9990414,0.0003038255,0.00006986587,0.000120006,0.0001587188,0.0003061328],"domain_scores_gemma":[0.9968599,0.001162692,0.0008673501,0.0001487181,0.0002359471,0.0007252527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004735872,0.0003521884,0.9370977,0.0001375083,0.00007351912,0.0003871233,0.01218133,0.0001484037,0.001520888,0.003838664,0.002328328,0.04146077],"study_design_scores_gemma":[0.00001714914,0.0001297713,0.9828037,0.00007800386,0.00002140343,0.0001926217,0.009395336,0.0002810056,0.0002846371,0.0008967177,0.005887145,0.00001242917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904482,0.00075266,0.0002646522,0.000743208,0.00003297621,0.00002068803,0.0003821521,0.000006097619,0.007349421],"genre_scores_gemma":[0.9981512,0.0001769659,0.00008839418,0.00006381292,0.00001270164,0.000007425963,0.0001146669,0.000002492339,0.001382189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008236121,"threshold_uncertainty_score":0.02755255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07220420700921176,"score_gpt":0.2586470462527559,"score_spread":0.1864428392435441,"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."}}