{"id":"W7117573700","doi":"10.5539/jsd.v19n1p78","title":"The Influence of Organizational Learning on the Relationship between Dynamic Capability and Sustainability of Non-Governmental Organizations in Nairobi County","year":2025,"lang":"","type":"article","venue":"Journal of Sustainable Development","topic":"Organizational Learning and Leadership","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Dynamic capabilities; Sample (material); Vulnerability (computing); Organizational learning; Population; Macro; Resilience (materials science)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004671839,0.0002794261,0.0004608057,0.0005196571,0.001240262,0.0002226227,0.0005183846,0.0001598967,0.00004076973],"category_scores_gemma":[0.02621529,0.0002053494,0.0000603149,0.003910878,0.000525949,0.0006495593,0.0003478149,0.0009083158,0.000002318802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002123033,"about_ca_system_score_gemma":0.003027725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001074889,"about_ca_topic_score_gemma":0.00002751928,"domain_scores_codex":[0.9965059,0.0002448174,0.001685244,0.0002729702,0.0008745284,0.0004166077],"domain_scores_gemma":[0.9892401,0.003363854,0.001805636,0.000249024,0.005309486,0.00003192816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001041584,0.000180734,0.9242998,0.001273964,0.00008869062,0.00000591545,0.001836507,0.01564899,0.00001991621,0.05638164,0.00007384287,0.0000858893],"study_design_scores_gemma":[0.000627745,0.00004306257,0.9199558,0.0004799535,0.00008596382,0.000001813525,0.07069799,0.0003574697,0.00005875964,0.006045986,0.001484087,0.0001613354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897264,0.0002537249,0.0005668477,0.008393724,0.00008691321,0.0005965565,0.00000240083,0.000006970093,0.0003664152],"genre_scores_gemma":[0.9979885,0.00003562908,0.00006381874,0.0001194303,0.00005793567,0.00000529299,0.00001185168,0.00002668081,0.001690843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06886148,"threshold_uncertainty_score":0.9819873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006550265406543425,"score_gpt":0.2228939425248762,"score_spread":0.2163436771183327,"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."}}