{"id":"W3214226394","doi":"10.32920/ryerson.14656578.v1","title":"Urban farming in Nairobi: understanding the impact of capacity building on female farmers","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Dalhousie University","funders":"","keywords":"Urbanization; Urban agriculture; Agriculture; Geography; Training (meteorology); Economic growth; Socioeconomics; Business; Sociology; Economics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002900476,0.0002863333,0.0002434716,0.0005764749,0.006508613,0.002827045,0.001026436,0.001234983,0.007155217],"category_scores_gemma":[0.003921041,0.0002642663,0.0001578204,0.0006148568,0.00495235,0.003137324,0.003444807,0.001304665,0.0003137005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004650941,"about_ca_system_score_gemma":0.00564615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02654802,"about_ca_topic_score_gemma":0.07858384,"domain_scores_codex":[0.9987624,0.000565307,0.00001549387,0.00005895333,0.00007915551,0.000518745],"domain_scores_gemma":[0.9980963,0.001010273,0.0002503338,0.00003362045,0.0001246981,0.0004847427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005721301,0.0001924128,0.04262654,0.0002348995,0.000009897081,0.00126992,0.9147831,0.00009583496,0.00098539,0.01247863,0.002014362,0.02525191],"study_design_scores_gemma":[0.000005117152,0.00005131165,0.02983048,0.000268823,0.000007468524,0.0001267887,0.9520128,0.0001070522,0.0001364413,0.001389279,0.0160565,0.000007924345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639411,0.0008538549,0.0001852911,0.01073662,0.00003317924,0.00003850558,0.00003702781,0.000002567843,0.0241718],"genre_scores_gemma":[0.9967583,0.0007349518,0.00008891556,0.000493847,0.000006367954,0.00002802384,0.000009001211,0.000001970211,0.001878595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02654802,"threshold_uncertainty_score":0.05278701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06611456139018804,"score_gpt":0.2651440470059548,"score_spread":0.1990294856157668,"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."}}