{"id":"W3176332896","doi":"10.2139/ssrn.3516474","title":"The Evolution and Transformation of Women’s Rights in India","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transformation (genetics); Political science; Genetics; Biology","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":[0.001529245,0.0001316984,0.0001958735,0.001441325,0.006750129,0.005997915,0.001108726,0.001216665,0.01057201],"category_scores_gemma":[0.003460035,0.0002299408,0.0002133344,0.002363712,0.01271441,0.002074671,0.005685678,0.002132922,0.000653705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007589352,"about_ca_system_score_gemma":0.004726718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03973436,"about_ca_topic_score_gemma":0.05733474,"domain_scores_codex":[0.997162,0.0007599954,0.00004870979,0.0002072237,0.0002403688,0.001581774],"domain_scores_gemma":[0.9981244,0.0007685588,0.0003188991,0.0002215327,0.0001840059,0.0003826792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003027417,0.0001290531,0.03106031,0.00008279726,0.00002168606,0.001221245,0.265455,0.0004614081,0.002179701,0.6371633,0.003308653,0.05861404],"study_design_scores_gemma":[0.00004127762,0.0002572745,0.2815859,0.0002559384,0.00004837251,0.0009827696,0.378723,0.00075659,0.003085121,0.07826179,0.255896,0.0001060699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8363092,0.000582765,0.0003370407,0.005169634,0.00004417491,0.00001707204,0.00007432245,0.00001474088,0.157451],"genre_scores_gemma":[0.9944753,0.00007757006,0.0000364614,0.000102291,0.000007189321,0.000003286505,0.000008971606,0.000004707005,0.005284104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03973436,"threshold_uncertainty_score":0.0790062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006417902939331963,"score_gpt":0.2612127816546087,"score_spread":0.2547948787152767,"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."}}