{"id":"W2552349114","doi":"10.1017/aae.2016.26","title":"WELFARE ANALYSIS OF THE U.S.-MEXICAN TOMATO SUSPENSION AGREEMENT","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural and Applied Economics","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare; Consumption (sociology); Economics; Free trade agreement; Suspension (topology); Trade agreement; International economics; Agricultural economics; International trade; Free trade; Market economy; Mathematics; Sociology","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":[],"consensus_categories":[],"category_scores_codex":[0.0003690402,0.0001773176,0.0007242702,0.0001671051,0.00010477,0.00004376614,0.0003333442,0.00009831296,0.0001466223],"category_scores_gemma":[0.00001854584,0.00008432937,0.0004193453,0.000238949,0.00007720243,0.000227227,0.0001222526,0.0001038537,0.0000132583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009676969,"about_ca_system_score_gemma":0.000009320553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001364024,"about_ca_topic_score_gemma":0.00007099511,"domain_scores_codex":[0.9984506,0.000009081341,0.001083306,0.0002287596,0.00003186525,0.0001964208],"domain_scores_gemma":[0.9980384,0.00005561709,0.001536316,0.0001971798,0.00006161967,0.00011088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001994468,0.0003070131,0.07776882,0.00005127538,0.005285632,6.337211e-7,0.0007525574,0.00325166,0.006357557,0.8948899,0.005045513,0.006089982],"study_design_scores_gemma":[0.00061283,0.00007199491,0.988272,0.00001705673,0.0001971035,0.00001678059,0.000339839,0.000005151092,0.002140878,0.004181997,0.00394167,0.0002027625],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863288,0.0004020445,0.00001578307,0.004861932,0.0002643976,0.0001166433,0.00008073537,0.000004125918,0.007925542],"genre_scores_gemma":[0.998549,0.0007184295,0.0001727266,0.0001246799,0.0001254388,0.000002511731,0.000003354116,0.000006065734,0.0002977454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9105031,"threshold_uncertainty_score":0.3438852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009822811116604761,"score_gpt":0.166897419978683,"score_spread":0.1570746088620782,"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."}}