{"id":"W4315490275","doi":"10.2499/p15738coll2.136519","title":"Championing gender in agricultural services in Kenya","year":2023,"lang":"en","type":"report","venue":"","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consortium of International Agricultural Research Centers; International Fine Particle Research Institute; Australian Centre for International Agricultural Research; Wageningen University and Research; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; International Development Research Centre","keywords":"Agriculture; Business; Agricultural economics; Geography; Economics; Archaeology","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":[0.002638111,0.0002472406,0.0001399675,0.0006026232,0.009394662,0.00247888,0.0007416765,0.00153068,0.03260148],"category_scores_gemma":[0.003503893,0.0002573034,0.0001241502,0.0008125962,0.003199516,0.001881364,0.0043672,0.001609864,0.0008491239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008997971,"about_ca_system_score_gemma":0.0263048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05464542,"about_ca_topic_score_gemma":0.1473052,"domain_scores_codex":[0.9978251,0.0007412076,0.00004251831,0.0001017645,0.0002937145,0.0009957545],"domain_scores_gemma":[0.9947296,0.0008564956,0.0005790726,0.00005064752,0.0002932969,0.003491063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004343043,0.001022384,0.2694195,0.001601479,0.00002552616,0.005969502,0.2723667,0.0002717774,0.005926221,0.09765584,0.1240617,0.221245],"study_design_scores_gemma":[0.00005014155,0.0003747556,0.1725946,0.001560297,0.00001279526,0.001425948,0.3655661,0.0002368893,0.0008296447,0.005235466,0.4520556,0.00005773437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7705342,0.004045745,0.0004471836,0.06183096,0.0005850827,0.0006008802,0.0002965723,0.00003827874,0.1616212],"genre_scores_gemma":[0.9577948,0.001997791,0.0005121958,0.00339891,0.00008304941,0.0002419245,0.00008766414,0.0000125306,0.03587117],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05464542,"threshold_uncertainty_score":0.1090628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07296780468536945,"score_gpt":0.2913677322837145,"score_spread":0.2183999275983451,"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."}}