{"id":"W4415263965","doi":"10.3390/economies13100298","title":"Female Wage Employment and Fertility in Kenya","year":2025,"lang":"en","type":"article","venue":"Economies","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Brock University; Bill and Melinda Gates Foundation","keywords":"Fertility; Wage; Context (archaeology); Socioeconomic status; Male female; Point (geometry); Total fertility rate; Hourly wage","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000813336,0.0000974911,0.0001649809,0.0007453014,0.0005925758,0.0004080303,0.0002090798,0.0002444998,0.002505121],"category_scores_gemma":[0.002599125,0.0001402205,0.0001792977,0.001321727,0.0003344966,0.0003253099,0.0003833296,0.00035451,0.0002226402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005332314,"about_ca_system_score_gemma":0.0005249502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02563922,"about_ca_topic_score_gemma":0.06466762,"domain_scores_codex":[0.9996829,0.0001205028,0.00002054848,0.00003157399,0.0000537781,0.00009077257],"domain_scores_gemma":[0.9985809,0.0003867334,0.0007872898,0.00003180229,0.00008438955,0.0001288426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001989648,0.00001947814,0.9969457,0.00001133303,0.00001264638,0.00005107457,0.0004454294,0.00005765818,0.00005826805,0.0002121006,0.0001263028,0.002040063],"study_design_scores_gemma":[9.089887e-7,0.00001898734,0.9986309,0.00001323018,0.000003988911,0.00006073313,0.0006723385,0.00007442662,0.00002575318,0.00003458668,0.0004620368,0.000002129522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976296,0.0004330823,0.00004874077,0.0001714605,0.000004518999,0.000004386819,0.0003883134,0.000001003284,0.001318756],"genre_scores_gemma":[0.9991342,0.0003379705,0.00005032036,0.0000212036,0.000004747009,0.000004626885,0.0001622852,5.459161e-7,0.0002840671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02563922,"threshold_uncertainty_score":0.05097991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02938020713488691,"score_gpt":0.3103402003899808,"score_spread":0.2809599932550939,"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."}}