{"id":"W6906394940","doi":"10.17605/osf.io/j26xm","title":"Gender Differences, COVID-19 Trends, and Digital Finance in Kenya: Evidence from the Kenya Life Panel Survey (KLPS)","year":2021,"lang":"en","type":"other","venue":"Open Science Framework","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phone; Plan (archaeology); Cover (algebra); Quarter (Canadian coin); Mobile phone; Data collection","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":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00369597,0.0005572135,0.001208292,0.0005746422,0.0003664228,0.002865755,0.005169336,0.0006154262,0.00491169],"category_scores_gemma":[0.03040498,0.0004905674,0.0001032857,0.003250861,0.00126901,0.0009198365,0.00231739,0.00103292,0.0002456145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004908352,"about_ca_system_score_gemma":0.00190811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.035312,"about_ca_topic_score_gemma":0.0053577,"domain_scores_codex":[0.9954637,0.0001488254,0.0008905134,0.002231897,0.0003221078,0.0009429373],"domain_scores_gemma":[0.9928828,0.003472618,0.0009505257,0.002104448,0.00004612431,0.0005434848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002593084,0.00006884008,0.9168724,0.00003656141,0.00003615422,0.00002476064,0.001431985,0.00003488547,8.010793e-7,0.004386168,0.07326078,0.003820715],"study_design_scores_gemma":[0.0003669171,0.00003009996,0.7783353,0.0006947038,0.000007049308,0.000004077951,0.0001370356,0.0003706284,5.221164e-7,0.01193712,0.207365,0.0007515747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1342201,0.2612709,0.03495326,0.03526597,0.01241585,0.00661628,0.01982769,0.000457018,0.4949729],"genre_scores_gemma":[0.8875619,0.009022747,0.002244609,0.00968073,0.0004841204,0.0001148078,0.0001345713,0.0002560373,0.09050046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7533418,"threshold_uncertainty_score":0.9997546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2201694840389684,"score_gpt":0.3472981399661656,"score_spread":0.1271286559271972,"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."}}