{"id":"W4402767078","doi":"10.2139/ssrn.4927318","title":"PMAY Scheme and Socio-Economic Empowerment of Women in Rural India","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Empowerment; Scheme (mathematics); Economic growth; Socioeconomics; Sociology; Economics; 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":[0.0006398561,0.0001337225,0.0001516261,0.0007741369,0.00212579,0.001617424,0.0005142456,0.0004373605,0.006881173],"category_scores_gemma":[0.002622995,0.0001073131,0.0001406945,0.0008656635,0.00194456,0.0005914566,0.002956351,0.0006783108,0.0003942152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851527,"about_ca_system_score_gemma":0.002280405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01373514,"about_ca_topic_score_gemma":0.02151125,"domain_scores_codex":[0.9989738,0.0003248661,0.00002769635,0.00004991928,0.00007406098,0.0005496132],"domain_scores_gemma":[0.9984451,0.0004002996,0.0004380644,0.00008441735,0.0001173779,0.0005148657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009532864,0.001042198,0.6862878,0.0001735933,0.00006051057,0.003376626,0.1073908,0.001184816,0.002615719,0.09787378,0.004842989,0.09419787],"study_design_scores_gemma":[0.00004590008,0.0005444144,0.8359718,0.000113348,0.00003414884,0.0006484117,0.1286171,0.001030232,0.0006142722,0.007835071,0.02451018,0.00003510449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861363,0.0000894989,0.00007314579,0.001312246,0.000008810222,0.00001691531,0.00005456384,0.000004735923,0.01230386],"genre_scores_gemma":[0.9982461,0.00003205854,0.00002681922,0.00003208894,0.000002756758,0.000006844913,0.000009332939,6.024532e-7,0.001643366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01373514,"threshold_uncertainty_score":0.02731037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004402537272872536,"score_gpt":0.2162224064307546,"score_spread":0.2118198691578821,"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."}}