{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00184569,0.0004510341,0.0004671933,0.001051862,0.01469696,0.002528111,0.001064537,0.002614363,0.003030332],"category_scores_gemma":[0.001675219,0.0003515911,0.0002795897,0.001427172,0.004294008,0.002465548,0.003499464,0.002198856,0.0002236783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003335407,"about_ca_system_score_gemma":0.003696924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02020999,"about_ca_topic_score_gemma":0.0625513,"domain_scores_codex":[0.9988003,0.0007242415,0.00002486255,0.00007024662,0.00009550051,0.0002848477],"domain_scores_gemma":[0.9990447,0.0004738637,0.00009835126,0.00003125443,0.00007159253,0.0002802093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007126372,0.0004226335,0.03440368,0.0001916639,0.00001185994,0.08004566,0.8561025,0.0002569898,0.001753818,0.01259153,0.001711202,0.01243731],"study_design_scores_gemma":[0.000004751328,0.0001121443,0.007848613,0.0001872453,0.000006512393,0.004613478,0.9702612,0.0002870186,0.0002230584,0.001090415,0.01535385,0.00001171441],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871864,0.0006485837,0.0006875728,0.002113278,0.00004423702,0.00006848507,0.00002763676,0.000007015125,0.009216817],"genre_scores_gemma":[0.9949794,0.0008941731,0.0006330915,0.0004251454,0.00001934448,0.00005696992,0.00001860596,0.000006725342,0.002966537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02020999,"threshold_uncertainty_score":0.04018474,"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."}}