{"id":"W6996867869","doi":"","title":"State workers struggle to make ends meet throughout California; Women, Black, and Latino workers are disproportionately affected","year":2023,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Government (linguistics); Quarter (Canadian coin); State government; Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005794308,0.0001797366,0.000220146,0.0005249692,0.00670811,0.002127297,0.0004537865,0.0006242861,0.01159187],"category_scores_gemma":[0.0007866222,0.0002455909,0.0001305984,0.0006789238,0.001318517,0.000897829,0.002585939,0.001681151,0.001240082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803126,"about_ca_system_score_gemma":0.00463074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1742006,"about_ca_topic_score_gemma":0.4397695,"domain_scores_codex":[0.9995741,0.00006244898,0.000009463644,0.00003717076,0.0001098148,0.0002069576],"domain_scores_gemma":[0.9992557,0.00006262001,0.0001157617,0.00002306101,0.000126713,0.0004160048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001657212,0.000343023,0.1962586,0.0003676591,0.00007735759,0.0007199399,0.05840645,0.0002385372,0.001316818,0.009631697,0.49819,0.2342843],"study_design_scores_gemma":[0.00005115008,0.0001404175,0.3931322,0.0008582916,0.00008199156,0.0003340484,0.1672682,0.0001685645,0.0003187181,0.002900297,0.4347121,0.00003393382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.763909,0.006635655,0.0003223903,0.0599762,0.0005185651,0.00003951204,0.000942579,0.0001237251,0.1675323],"genre_scores_gemma":[0.9321079,0.00681369,0.0002869851,0.007725205,0.0001755205,0.00007430327,0.0005080288,0.00003806639,0.05227019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1742006,"threshold_uncertainty_score":0.3463733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033207975985532,"score_gpt":0.2658609180318295,"score_spread":0.2255288382719742,"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."}}