{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009027658,0.0001496123,0.0001276967,0.0008611156,0.002463593,0.002286421,0.0003180271,0.0003073188,0.004949587],"category_scores_gemma":[0.003945186,0.00009057738,0.0001153057,0.001625362,0.00160147,0.00183926,0.001997252,0.0006646126,0.0001559815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00286372,"about_ca_system_score_gemma":0.004405242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02785937,"about_ca_topic_score_gemma":0.05853499,"domain_scores_codex":[0.99959,0.0001683123,0.00001676115,0.00003752675,0.00005072491,0.0001366067],"domain_scores_gemma":[0.9971225,0.001226692,0.0006297086,0.0001067131,0.0003694231,0.0005448874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001003008,0.000324213,0.658518,0.0001541855,0.00008376959,0.0007160456,0.03450479,0.002547845,0.0005142489,0.2019785,0.007698961,0.09285913],"study_design_scores_gemma":[0.00001687893,0.0001019329,0.7598892,0.0002158139,0.00006775695,0.0001903182,0.1279571,0.006372386,0.0003031048,0.07674225,0.0281102,0.00003306439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419081,0.0002023694,0.002168457,0.005451994,0.00002278302,0.00004880848,0.0006448634,0.000009899812,0.04954287],"genre_scores_gemma":[0.9993235,0.00005593931,0.0002323984,0.00002368545,0.000002678529,0.000006623969,0.00004386843,7.830855e-7,0.0003106114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02785937,"threshold_uncertainty_score":0.05539441,"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."}}