{"id":"W4417069700","doi":"10.1016/j.heliyon.2025.e44281","title":"Essential livelihood capitals for effective climate adaptation in Pakistan's irrigated agriculture: Insights from PLS-SEM and NCA","year":2025,"lang":"en","type":"article","venue":"Heliyon","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Universität Hamburg; Deutsche Forschungsgemeinschaft","keywords":"Livelihood; Natural capital; Social capital; Adaptation (eye); Agriculture; Physical capital; Human capital; Likert scale","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":[],"consensus_categories":[],"category_scores_codex":[0.0001807667,0.0001236909,0.0002014192,0.00006163335,0.0003994269,0.00009563928,0.00008884221,0.0002216133,0.00001443922],"category_scores_gemma":[0.0000880386,0.0001081157,0.00005916134,0.0003624996,0.0001109778,0.0001874687,0.00003788696,0.0001201095,0.000008732555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073712,"about_ca_system_score_gemma":0.00005785971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002918076,"about_ca_topic_score_gemma":0.02904783,"domain_scores_codex":[0.9988974,0.0001942202,0.0001962921,0.0002842614,0.0001602226,0.0002676104],"domain_scores_gemma":[0.999235,0.000459853,0.00007640882,0.00005900027,0.0001055729,0.00006413867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00146533,0.0006675376,0.009274818,0.0007179274,0.0003807174,0.00004212033,0.5455053,0.0001301236,0.01413297,0.349923,0.002500009,0.07526013],"study_design_scores_gemma":[0.009083825,0.0006478858,0.5201462,0.003249271,0.0004587519,6.26009e-7,0.2189176,0.001126377,0.01109526,0.2077671,0.02579894,0.001708083],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813602,0.01225984,0.0003836095,0.0003480734,0.0006653299,0.001058428,0.0000467142,0.00007851567,0.003799283],"genre_scores_gemma":[0.9968126,0.002242691,0.0001025683,0.000144666,0.0003197757,0.0001507771,0.00006506372,0.000007254941,0.0001546489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5108714,"threshold_uncertainty_score":0.9886695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007330050640462469,"score_gpt":0.2896501092089369,"score_spread":0.2823200585684744,"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."}}