{"id":"W7099904252","doi":"","title":"A Study For the","year":2002,"lang":"en","type":"article","venue":"","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sugar production; Free trade; Tariff; Negotiation; Earnings; Trade barrier; Agreement on Agriculture; Agriculture; Scope (computer science)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003410856,0.0005191438,0.0003358398,0.001878878,0.00457422,0.00928503,0.001248174,0.003455236,0.1367512],"category_scores_gemma":[0.00705224,0.0002797833,0.0006228431,0.002733652,0.002154209,0.006192878,0.005411141,0.003197929,0.03386978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004606733,"about_ca_system_score_gemma":0.01132923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01474042,"about_ca_topic_score_gemma":0.01784431,"domain_scores_codex":[0.9972333,0.0008310162,0.0001437857,0.0004836506,0.0006355085,0.0006726245],"domain_scores_gemma":[0.9972516,0.0003229794,0.0001929656,0.000335358,0.001042642,0.0008545882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007112537,0.0000962809,0.005138288,0.0002448181,0.00001181926,0.0004463368,0.004503893,0.0001096705,0.0003179778,0.5440697,0.3102904,0.1346997],"study_design_scores_gemma":[0.000009553637,0.00001734989,0.001999905,0.0002103164,0.000003564035,0.000158951,0.002808574,0.00004560377,0.00007944553,0.009550659,0.9851083,0.00000784133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01463447,0.00950384,0.005075983,0.06739518,0.004591921,0.0004416957,0.00190718,0.0001738175,0.8962759],"genre_scores_gemma":[0.1329772,0.007239151,0.009130184,0.03184747,0.0007583776,0.0008332593,0.001881544,0.0002599521,0.8150728],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8632488,"threshold_uncertainty_score":0.4574785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2306805940876613,"score_gpt":0.2260922481693854,"score_spread":0.004588345918275838,"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."}}