{"id":"W2621794288","doi":"10.1111/grow.12199","title":"Ten‐Gallon Economy: Sizing Up Economic Growth in Texas Edited by Pia M.Orrenius, JesúsCañas, and MichaelWeiss, New York: Palgrave Macmillan. 2015. xvii, 248 pp. $120 (hardcover), $89 (eBook). ISBN 978‐1137530165.","year":2017,"lang":"en","type":"article","venue":"Growth and Change","topic":"Mexican Socioeconomic and Environmental Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gallon (US); Casual; Economy; Economic history; State (computer science); History; Economics; Agricultural economics; Geography; Political science; Engineering; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002837661,0.0005228097,0.000556033,0.00006548891,0.00044343,0.0002197901,0.0005625844,0.000302562,0.0008904965],"category_scores_gemma":[0.00001898714,0.0005435924,0.0001045122,0.00003404256,0.0006217446,0.0003198388,0.0006683354,0.0003133341,0.0005238873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004290301,"about_ca_system_score_gemma":0.00003005778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503753,"about_ca_topic_score_gemma":0.001836333,"domain_scores_codex":[0.9975431,0.00005359945,0.000479134,0.0009721198,0.0001357731,0.0008162571],"domain_scores_gemma":[0.9984791,0.00006225003,0.0003630263,0.0005136183,0.000002864601,0.0005791126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000105969,0.00003254043,0.9437568,0.00007076185,0.00006798848,0.00001685066,0.001732363,0.000003252603,0.0005019584,0.001176612,0.03881338,0.01372149],"study_design_scores_gemma":[0.006024238,0.0004414968,0.9212818,0.0001459089,0.0001485242,0.00007307571,0.001170499,0.004632695,0.001214554,0.02135308,0.04087964,0.002634475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750119,0.005407862,0.00004771476,0.002345929,0.0008095849,0.0008043897,0.0003778866,0.00006861962,0.01512613],"genre_scores_gemma":[0.9887653,0.008178258,0.000245533,0.00114739,0.0005031201,0.00004603903,0.0001534172,0.00006527171,0.0008956573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02247502,"threshold_uncertainty_score":0.9997016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472018715990771,"score_gpt":0.2109359115516069,"score_spread":0.1962157243916992,"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."}}