{"id":"W4296050644","doi":"10.3389/fclim.2022.908602","title":"Enhancing climate services design and implementation through gender-responsive evaluation","year":2022,"lang":"en","type":"article","venue":"Frontiers in Climate","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Consortium of International Agricultural Research Centers","keywords":"Empowerment; Livelihood; Equity (law); Food security; Climate change; Environmental resource management; Political science; Public relations; Business; Economic growth; Geography; Agriculture; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005440624,0.0001539312,0.0001985224,0.0002383185,0.001537074,0.0001376497,0.0001785617,0.00006314668,0.0004039932],"category_scores_gemma":[0.00007760189,0.0001900259,0.00003801952,0.0005445336,0.0000820636,0.0008147027,0.0001287894,0.0001457993,0.000007401551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009569564,"about_ca_system_score_gemma":0.0001907723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001338947,"about_ca_topic_score_gemma":0.01037075,"domain_scores_codex":[0.9962851,0.001493341,0.0004248215,0.0004129472,0.0008303177,0.0005534992],"domain_scores_gemma":[0.9991426,0.0001985629,0.0002946313,0.0001545609,0.0001517354,0.00005785916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006454956,0.0001596877,0.143138,0.0003008899,0.00007420764,0.00001560182,0.8035529,0.007931249,0.004357815,0.008884294,0.003372292,0.02756759],"study_design_scores_gemma":[0.002047463,0.0001626835,0.03254539,0.00004586716,0.0001411476,0.000003862574,0.9015038,0.03282634,0.001113169,0.02023873,0.008832357,0.0005392035],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696271,0.001878883,0.01955202,0.001250429,0.002293434,0.003005781,0.0001516506,0.0001682868,0.002072389],"genre_scores_gemma":[0.957885,0.003814622,0.03621025,0.0006311532,0.0001510256,0.000838361,0.0003967356,0.00004021241,0.0000326411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1105926,"threshold_uncertainty_score":0.9997628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1456007356175524,"score_gpt":0.3961964903821786,"score_spread":0.2505957547646263,"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."}}