{"id":"W2297896635","doi":"","title":"Women’s Inheritance Right under Indian and Canadian Legal Framework – Combating Gender Injustice","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Injustice; Inheritance (genetic algorithm); Political science; Economic Justice; Law; Genetics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004893352,0.0002699897,0.0004316249,0.001785311,0.01928921,0.008372457,0.002273678,0.002561281,0.01114078],"category_scores_gemma":[0.01329759,0.0002695994,0.0004587036,0.002129538,0.009648535,0.001889193,0.004441866,0.005047998,0.000539538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04626104,"about_ca_system_score_gemma":0.1566497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9561297,"about_ca_topic_score_gemma":0.9826429,"domain_scores_codex":[0.9885536,0.001004467,0.0001370343,0.0006000997,0.003207096,0.006497631],"domain_scores_gemma":[0.9926673,0.001356023,0.0003917487,0.000434479,0.00308434,0.002066211],"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":[0.0001505288,0.0001398762,0.02373815,0.00008857404,0.00003555405,0.0006522018,0.03468867,0.0006895397,0.001249193,0.8568761,0.03286518,0.04882648],"study_design_scores_gemma":[0.0001081868,0.0002043424,0.1326607,0.0007186635,0.0003531751,0.0005247472,0.1397706,0.001739054,0.00292412,0.08768149,0.6330476,0.0002673123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2637963,0.001275531,0.001269742,0.03038774,0.0002221117,0.000123044,0.0002628069,0.00003849394,0.7026243],"genre_scores_gemma":[0.9513072,0.0003582561,0.0005901127,0.003226645,0.0000355121,0.00002515756,0.00004895452,0.00001664104,0.04439153],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04626104,"threshold_uncertainty_score":0.335649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008521209479345499,"score_gpt":0.1984190556425074,"score_spread":0.1898978461631619,"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."}}