{"id":"W3123237031","doi":"10.3386/w15820","title":"Large Scale Institutional Changes: Land Demarcation Within the British Empire","year":2010,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Land Rights and Reforms","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Arizona; University of Chicago; National Science Foundation","keywords":"Transaction cost; Institutional change; Scale (ratio); Empire; Colonialism; Land tenure; Institutional economics; Economies of scale; Resource (disambiguation); Database transaction; Geography; New institutional economics; Political science; Economy; Economics; Agriculture; Political economy; Law; Public administration; Archaeology; Cartography; Neoclassical economics; Microeconomics","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":[0.001049593,0.00009757684,0.0002488491,0.001633518,0.001887518,0.003218838,0.0005574974,0.0005976659,0.003738775],"category_scores_gemma":[0.007943899,0.0001989408,0.0001367021,0.003427696,0.005907089,0.001873893,0.00165664,0.0006985678,0.000187894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01494937,"about_ca_system_score_gemma":0.002757624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2785176,"about_ca_topic_score_gemma":0.457005,"domain_scores_codex":[0.9985171,0.0004707675,0.00005274696,0.0001491356,0.0003265666,0.0004837046],"domain_scores_gemma":[0.9945874,0.001365499,0.002340477,0.0004996048,0.0007045819,0.0005023563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003107986,0.0002646914,0.5471404,0.0002286617,0.000140112,0.00217064,0.02751756,0.01870032,0.002613286,0.248897,0.003486699,0.14853],"study_design_scores_gemma":[0.00002162199,0.00005669082,0.9306322,0.0001209515,0.00002593028,0.0001845404,0.02284492,0.004499277,0.0004415442,0.0157623,0.02537656,0.0000334614],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782355,0.0007582881,0.0008955197,0.001134214,0.000004629742,0.00001435898,0.00006849977,0.000006824414,0.01888215],"genre_scores_gemma":[0.9985448,0.0002199495,0.0002056872,0.00002326878,0.00000241591,0.00000265475,0.00002037446,0.000002368062,0.0009785546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2785176,"threshold_uncertainty_score":0.5537928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1462712610170761,"score_gpt":0.3912287842436237,"score_spread":0.2449575232265477,"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."}}