{"id":"W7037498996","doi":"","title":"The Effects of Land Inequality on Economic Growth: A Regional and Comparative Study, 1950-1970","year":2021,"lang":"en","type":"dissertation","venue":"e-Archivo (Carlos III University of Madrid)","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latin Americans; Squire; Inequality; National accounts; Land use; Economic inequality; Missing data","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":[0.0005907394,0.0002124534,0.0002826333,0.004097333,0.0004600515,0.0008943229,0.0003048774,0.0001654813,0.003918827],"category_scores_gemma":[0.002047902,0.0001107427,0.000435379,0.01020865,0.000809779,0.0009361878,0.0009800171,0.0004234203,0.0005062235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019783,"about_ca_system_score_gemma":0.000773609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09586635,"about_ca_topic_score_gemma":0.1485491,"domain_scores_codex":[0.9994616,0.0001410883,0.00003185086,0.00008840562,0.00008917873,0.0001880155],"domain_scores_gemma":[0.9991358,0.0002500271,0.000268089,0.0000698393,0.000185051,0.00009115575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003118395,0.0001220717,0.8123935,0.0007368597,0.0005437089,0.0008316623,0.009099987,0.004961947,0.0006539057,0.04252398,0.01151034,0.1163102],"study_design_scores_gemma":[0.000003383302,0.00003388832,0.9786089,0.0001567369,0.00007461423,0.0001151131,0.003026274,0.0002233217,0.0001868328,0.0004009499,0.01716174,0.00000829062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907833,0.02794094,0.0004302097,0.001120764,0.0000439362,0.00001339455,0.008050908,0.00002351551,0.05454322],"genre_scores_gemma":[0.9845611,0.01069005,0.0002641907,0.00004288997,0.00005453896,0.00001045392,0.002677357,0.00001143747,0.00168804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09586635,"threshold_uncertainty_score":0.1906167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03251416123875212,"score_gpt":0.2443394097903812,"score_spread":0.2118252485516291,"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."}}