{"id":"W1833480845","doi":"10.5539/jsd.v8n8p42","title":"Income Generating Activities of Rural Kenyan Women","year":2015,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pennsylvania State University; University of Pennsylvania","keywords":"Livelihood; Kenya; Economic growth; Work (physics); Household income; Business; Order (exchange); Economics; Socioeconomics; Agriculture; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0003903098,0.000251302,0.0001732802,0.0007763854,0.003549843,0.0009511377,0.0002528001,0.0003692651,0.004885563],"category_scores_gemma":[0.001016915,0.0002192342,0.0001135628,0.0007652952,0.000916581,0.0007785707,0.001051614,0.0003330758,0.0004997632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008422618,"about_ca_system_score_gemma":0.0008534181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01760224,"about_ca_topic_score_gemma":0.04465785,"domain_scores_codex":[0.9997733,0.00007629185,0.0000101932,0.00002004786,0.00002490612,0.00009518109],"domain_scores_gemma":[0.9996864,0.00008600952,0.0000969198,0.000007741727,0.00003460277,0.00008840332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001898817,0.0003945952,0.486497,0.0002047643,0.00001750936,0.002289751,0.4613128,0.00007602747,0.004100411,0.002087496,0.002050936,0.04077877],"study_design_scores_gemma":[0.00001174037,0.000243538,0.4322224,0.0001896274,0.00001599424,0.0009637017,0.5483137,0.0000948902,0.0003634063,0.000382199,0.01716527,0.00003347883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994886,0.0002977,0.00001906411,0.000346348,0.000004710597,0.00001110535,0.00005183059,8.843171e-7,0.004382282],"genre_scores_gemma":[0.9967763,0.0009604061,0.00006285599,0.0001245826,0.000005488708,0.00002220463,0.00004232179,0.000001182274,0.002004735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01760224,"threshold_uncertainty_score":0.03499955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751938688345989,"score_gpt":0.2632609485377557,"score_spread":0.2457415616542958,"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."}}