{"id":"W4414754051","doi":"10.1007/s43621-025-01948-6","title":"Development of livelihood vulnerability indicators in the context of compulsory land acquisition for infrastructure development","year":2025,"lang":"en","type":"article","venue":"Discover Sustainability","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"Lembaga Pengelola Dana Pendidikan; Technische Universität München","keywords":"Livelihood; Vulnerability (computing); Context (archaeology); Resilience (materials science); Process (computing); Agriculture; Delphi method","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":[0.007150378,0.0003320011,0.0003178135,0.007516583,0.00102807,0.00197814,0.0004360024,0.0003856411,0.001250629],"category_scores_gemma":[0.01479419,0.0001748202,0.0003573245,0.005408844,0.0009056631,0.001745586,0.002520301,0.0005240796,0.00008730513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003231782,"about_ca_system_score_gemma":0.004856069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006450452,"about_ca_topic_score_gemma":0.01793038,"domain_scores_codex":[0.996739,0.001582063,0.0003188596,0.000177329,0.0008698467,0.0003128499],"domain_scores_gemma":[0.9871314,0.006101046,0.002810252,0.0001839497,0.003320316,0.0004530762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005220962,0.0003916448,0.6306365,0.005136966,0.0003726392,0.002070795,0.05302011,0.01196795,0.009847471,0.02297017,0.002603053,0.2604607],"study_design_scores_gemma":[0.00002397512,0.001031392,0.7146357,0.002427667,0.0003879169,0.0008261674,0.2147958,0.02115919,0.009801297,0.01372783,0.02102477,0.0001583555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694366,0.0008737189,0.01217267,0.000674701,0.00002994023,0.0003851427,0.0005034747,0.0000201769,0.01590353],"genre_scores_gemma":[0.9930269,0.0003814528,0.00608557,0.00002149609,0.000003519904,0.0001379725,0.0001328105,0.000001628953,0.0002085249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007516583,"threshold_uncertainty_score":0.03781527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009137291950330343,"score_gpt":0.3683818850015443,"score_spread":0.3592445930512139,"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."}}