{"id":"W6987810569","doi":"","title":"Understanding the relationships between women's access to land resources and household food security in eastern Kenya","year":2017,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre; Government of Canada; Global Affairs Canada; Government of the Republic of Kenya","keywords":"Livelihood; Food security; Focus group; Land tenure; Resource (disambiguation); Agriculture; Physical access; Provisioning","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001093513,0.0004295529,0.00049367,0.00008451343,0.003177532,0.0006215908,0.0009765899,0.0006187015,0.00004586815],"category_scores_gemma":[0.0001674832,0.0001087083,0.0001182438,0.0003233499,0.00007495532,0.0006578487,0.0002011916,0.001237158,0.0000151771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003040828,"about_ca_system_score_gemma":0.000008934764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006613298,"about_ca_topic_score_gemma":0.03554713,"domain_scores_codex":[0.9975091,0.0002668787,0.0004661048,0.0006922145,0.0004710778,0.0005946331],"domain_scores_gemma":[0.9986706,0.0003574443,0.0003727527,0.0002286433,0.00005547107,0.0003150942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001701742,0.0007062996,0.5049312,0.0009866729,0.001104649,0.0001716451,0.002775183,0.00006708471,0.003579659,0.05087081,0.00005797168,0.4330471],"study_design_scores_gemma":[0.0007110754,0.0005717648,0.696466,0.0006989475,0.00009424683,0.00001007385,0.00396717,0.000005819402,0.0005649495,0.1696722,0.1260193,0.001218407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840724,0.00007239561,1.944698e-8,0.0002559618,0.0003041564,0.0005999013,0.0008742275,0.00007405524,0.01374681],"genre_scores_gemma":[0.9954764,0.0001564339,0.000002620305,0.00008133156,0.000164905,0.00006151622,0.000273985,0.00001025132,0.003772611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4318287,"threshold_uncertainty_score":0.9981202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052090844761186,"score_gpt":0.2541758707646464,"score_spread":0.1489667862885278,"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."}}