{"id":"W3097414405","doi":"10.33423/jabe.v22i5.3053","title":"Trade and Health Linkages: A Global Panel Data Analysis Using the Gravity Model","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Global Health Care Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Openness to experience; Gravity model of trade; Outlier; Panel data; Economics; Instrumental variable; Inequality; Econometrics; Sample (material); Demographic economics; Infant mortality; Developing country; International economics; Statistics; Psychology; Economic growth; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001164171,0.0001576519,0.000683295,0.00005280387,0.0005374985,0.0000443556,0.0003476791,0.0001222726,0.000006391675],"category_scores_gemma":[0.00003321605,0.0001138849,0.0000463036,0.0003821984,0.00007445146,0.0002088267,0.0003110372,0.0004173128,0.000001931601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001835592,"about_ca_system_score_gemma":0.000697787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003373313,"about_ca_topic_score_gemma":0.0003032525,"domain_scores_codex":[0.9983239,0.00005920989,0.0009093118,0.0002720099,0.00009827844,0.0003373514],"domain_scores_gemma":[0.9982187,0.0000892502,0.0009606502,0.0003090741,0.00008209474,0.0003402783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002999573,0.0005467332,0.2365548,0.007165506,0.004710879,0.00005455524,0.05804572,0.5311804,0.0001328395,0.04784491,0.04716071,0.06360332],"study_design_scores_gemma":[0.002083887,0.00007579337,0.2100687,0.0001346593,0.0009360571,0.00003284246,0.01260581,0.7574023,0.000001046096,0.006439789,0.009864902,0.0003541979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496475,0.001347899,0.009871389,0.03808615,0.0002005547,0.0003605492,0.0002874628,0.00001384459,0.0001846727],"genre_scores_gemma":[0.981231,0.003000973,0.005655526,0.009614008,0.0004634442,0.000001584441,0.00001961391,0.00001251856,0.00000133192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2262219,"threshold_uncertainty_score":0.4644091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2542854693910118,"score_gpt":0.4231376362192487,"score_spread":0.1688521668282369,"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."}}