{"id":"W4411804347","doi":"10.3390/cli13070136","title":"The Gender–Climate–Security Nexus: A Case Study of Plateau State","year":2025,"lang":"en","type":"article","venue":"Climate","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Nexus (standard); Plateau (mathematics); Environmental science; State (computer science); Climatology; Geography; Computer science; Geology; Mathematics","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":[0.001987977,0.0001552012,0.0002236594,0.0001175607,0.001843475,0.0001868956,0.0002879646,0.00007456227,0.00004913039],"category_scores_gemma":[0.000257864,0.0001275368,0.00007021685,0.000626485,0.0002650892,0.0002583808,0.0001381954,0.000143463,0.00002844408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643529,"about_ca_system_score_gemma":0.0001417775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008442026,"about_ca_topic_score_gemma":0.1670663,"domain_scores_codex":[0.9978139,0.0004530989,0.0005119063,0.0002958246,0.0003760017,0.0005492833],"domain_scores_gemma":[0.9984937,0.0005257361,0.000260579,0.0003758208,0.0002663916,0.00007775966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002234599,0.001123609,0.04923332,0.0002588326,0.000173001,0.0004136835,0.8973968,0.0002775048,0.0003394162,0.04110843,0.002055095,0.007396852],"study_design_scores_gemma":[0.001166245,0.0001579207,0.007271381,0.00005281493,0.0001172851,0.00001636578,0.9734553,0.001574735,0.0001125585,0.01029317,0.005517933,0.0002642715],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829803,0.0003101637,0.00002216638,0.0004537204,0.0005751727,0.0009141726,0.00005925744,0.0001204554,0.01456467],"genre_scores_gemma":[0.998197,0.001322225,0.00002549403,0.00007930536,0.00005526632,0.00007432693,0.00001093958,0.00001375244,0.0002216998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1586243,"threshold_uncertainty_score":0.999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277243248945643,"score_gpt":0.3814588862829732,"score_spread":0.2537345613884089,"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."}}