{"id":"W3037836116","doi":"10.5539/ibr.v13n7p138","title":"Impact of Health and Literacy on Economic Growth in Morocco","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Literacy rate; Per capita; Human capital; Work (physics); Literacy; Commission; Economics; Business; Economic growth; Population","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":[0.0007381091,0.0002462972,0.0002212052,0.001136768,0.0004381444,0.0009193417,0.0001725194,0.0001948863,0.001990593],"category_scores_gemma":[0.00326002,0.00005491592,0.000265357,0.0009154598,0.0004042677,0.0005400273,0.001133307,0.0004317093,0.0001666453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809715,"about_ca_system_score_gemma":0.001036448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04585902,"about_ca_topic_score_gemma":0.03506429,"domain_scores_codex":[0.9993568,0.0001782761,0.00002217135,0.00004501722,0.00006624337,0.0003314748],"domain_scores_gemma":[0.9983404,0.0004920849,0.0005580064,0.00004810974,0.0002673874,0.0002939012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001775561,0.0000972326,0.9810519,0.00005951151,0.00004627668,0.0007453323,0.0008066075,0.001024419,0.0003256907,0.001145873,0.000629455,0.01389014],"study_design_scores_gemma":[0.000002929413,0.00005753116,0.9962837,0.00002444895,0.00001664636,0.00006955604,0.001111812,0.0006730117,0.0001957133,0.0001324381,0.001428394,0.000003813253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951012,0.0005661456,0.0000550584,0.0008157594,0.00001569441,0.000004411505,0.0005074594,0.000003209129,0.002931126],"genre_scores_gemma":[0.9992437,0.0001950862,0.00003292297,0.00003413576,0.0000151532,0.000003090743,0.00020081,9.078254e-7,0.0002742656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04585902,"threshold_uncertainty_score":0.0911842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2079680707409487,"score_gpt":0.5982277994949504,"score_spread":0.3902597287540017,"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."}}