{"id":"W2014291010","doi":"10.2307/4127220","title":"Land, Power and Market: A Bihar District Under Colonial Rule, 1860-1947.","year":2002,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Colonial rule; Colonialism; Power (physics); Geography; Agricultural economics; Economics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001409225,0.0001411246,0.000161931,0.0008581382,0.004087109,0.001085103,0.0005105566,0.000294356,0.007996482],"category_scores_gemma":[0.0003247719,0.0002546124,0.00005800447,0.003350896,0.001817871,0.000862434,0.001484252,0.0005856237,0.0006443467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003956375,"about_ca_system_score_gemma":0.002200159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1908683,"about_ca_topic_score_gemma":0.615012,"domain_scores_codex":[0.9998302,0.00002630871,0.000005004412,0.00001427546,0.00002340967,0.0001007575],"domain_scores_gemma":[0.9999034,0.00001974417,0.00002040451,0.00000552411,0.00001933095,0.00003161196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006168767,0.0003665311,0.3066002,0.0008233652,0.00008569898,0.01092574,0.3082967,0.001222445,0.003000746,0.09264657,0.0626267,0.2127885],"study_design_scores_gemma":[0.00002406605,0.0001048106,0.574536,0.0001677047,0.00002284966,0.001634421,0.1398528,0.0002148464,0.0004113754,0.003225457,0.279775,0.00003072475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946089,0.003376902,0.00006299305,0.001235063,0.0000410667,0.00004010487,0.0008889564,0.000007931354,0.04825799],"genre_scores_gemma":[0.9713286,0.001457816,0.0001295756,0.0001525903,0.00001627158,0.00001767388,0.0005174603,0.000004455918,0.02637556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1908683,"threshold_uncertainty_score":0.3795147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390716575540947,"score_gpt":0.1914003852337952,"score_spread":0.1774932194783857,"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."}}