{"id":"W4310663919","doi":"10.5430/ijba.v13n6p79","title":"Convergence Clubs in the Brazilian Beef Market","year":2022,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Club; Economics; Agribusiness; Work (physics); Econometrics; Relevance (law); Gross domestic product; Product (mathematics); Convergence clubs; Macroeconomics; Mathematics; Geography; Agriculture; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002699032,0.0001200467,0.0004448213,0.002876699,0.001237748,0.002114299,0.0003818889,0.0004433539,0.004997251],"category_scores_gemma":[0.01157767,0.0001500583,0.0004130947,0.001537908,0.001098498,0.001515152,0.00165355,0.0004598298,0.0002264743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477904,"about_ca_system_score_gemma":0.0008869785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02583856,"about_ca_topic_score_gemma":0.02247772,"domain_scores_codex":[0.9989218,0.0003551801,0.00006503963,0.0001383188,0.000239426,0.0002802803],"domain_scores_gemma":[0.995626,0.001562908,0.001130147,0.0002686775,0.0007990901,0.0006130922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001073261,0.0007327358,0.7108684,0.0002403898,0.0001544802,0.003498774,0.02481996,0.006808214,0.003450337,0.1523742,0.005858048,0.09012119],"study_design_scores_gemma":[0.00007752192,0.0002457336,0.8844126,0.0002240419,0.00006711746,0.0007597898,0.02803404,0.04205532,0.0007215893,0.03057309,0.01276222,0.0000670327],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872065,0.0002467654,0.0004029202,0.0002676134,0.0000063679,0.00002384637,0.0001377858,0.0000132911,0.01169502],"genre_scores_gemma":[0.999395,0.00006209101,0.000127625,0.000009273639,0.000004140954,0.000004216877,0.00008011057,0.000002435677,0.0003150239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02583856,"threshold_uncertainty_score":0.05137634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646572437071506,"score_gpt":0.242242116856048,"score_spread":0.2157763924853329,"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."}}