{"id":"W2050341787","doi":"10.2753/jei0021-3624480307","title":"Institutions and Lagging Development: The Case of the Don Army Region","year":2014,"lang":"en","type":"article","venue":"Journal of Economic Issues","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Fell; Agrarian society; Lagging; Militarism; Entrepreneurship; Corporate governance; Empire; Capital (architecture); Political science; Economy; Geography; Economics; Agriculture; Archaeology; Law","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":[0.00130249,0.0001874034,0.0004020785,0.0008860209,0.007861373,0.005132674,0.0008667533,0.001390704,0.002834416],"category_scores_gemma":[0.001598366,0.0002055056,0.0003262351,0.001169656,0.008409832,0.001731267,0.005714005,0.002479074,0.000213806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008031557,"about_ca_system_score_gemma":0.004161327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1059426,"about_ca_topic_score_gemma":0.1445142,"domain_scores_codex":[0.9988925,0.0004067479,0.00001547076,0.0000745701,0.00003878332,0.0005719143],"domain_scores_gemma":[0.9988404,0.0002801199,0.0003142746,0.00006357897,0.00009232028,0.000409478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002258353,0.0002545581,0.07020558,0.00009504054,0.00007885609,0.01174429,0.04834605,0.005043556,0.0006880493,0.8472621,0.003701696,0.01235438],"study_design_scores_gemma":[0.0005167917,0.0004527411,0.1934797,0.0007322943,0.0003783329,0.005348307,0.3426475,0.01764793,0.001402086,0.2653594,0.1718205,0.0002144114],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484731,0.0009570051,0.0004922035,0.004868116,0.00002148652,0.00001339796,0.00004160289,0.000006602941,0.04512657],"genre_scores_gemma":[0.9978962,0.0003500834,0.00006716452,0.0001410126,0.000007294176,0.000005030977,0.00001005691,0.00000254043,0.001520607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1059426,"threshold_uncertainty_score":0.210652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05743612383202198,"score_gpt":0.2500531407371003,"score_spread":0.1926170169050783,"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."}}