{"id":"W2746871318","doi":"10.26686/wgtn.17060834","title":"The Politics of Land Law: Poverty and Land Legislation in Bangladesh","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Land law; Poverty; Politics; Land reform; Land tenure; Ideology; Political science; Development economics; Geography; Political economy; Law; Economic growth; Economics; Agriculture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008722472,0.00008114293,0.0001261753,0.000004493592,0.0003023788,0.00006947491,0.0001117287,0.0001521351,0.0000342294],"category_scores_gemma":[0.000006736007,0.00001022334,0.00003273976,0.00002100017,0.00003891149,0.00005752096,0.000008757289,0.0000798231,0.00000126363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005189548,"about_ca_system_score_gemma":0.000006227306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009163468,"about_ca_topic_score_gemma":0.1951499,"domain_scores_codex":[0.9995405,0.00001215961,0.0001335159,0.0001023368,0.00009641876,0.0001150538],"domain_scores_gemma":[0.9997397,0.00005675299,0.0001078636,0.00003930595,0.00003043988,0.00002592434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000324422,0.0002714635,0.3455016,0.0002512337,0.0001466174,0.00001754661,0.001585693,0.000002324559,0.007036979,0.1272634,0.004913983,0.5126848],"study_design_scores_gemma":[0.0001995804,0.00009357937,0.700901,0.00007803065,0.00001272776,0.000002062348,0.0002120555,0.00002604408,0.000666728,0.01494258,0.2827094,0.0001562673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118078,0.0003828058,2.48045e-8,0.0008774991,0.0002382651,0.0001433475,0.00003656259,0.00000823401,0.08650547],"genre_scores_gemma":[0.8919228,0.001394217,0.000002597477,0.00004910367,0.0001959234,0.00000290534,0.0004945244,6.63735e-7,0.1059373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5125285,"threshold_uncertainty_score":0.9974346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225582541527902,"score_gpt":0.2301815146671232,"score_spread":0.2179256892518442,"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."}}