{"id":"W3020488281","doi":"10.3390/ijerph17082963","title":"A Scientometric Analysis of Global Health Research","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Global Health and Surgery","field":"Medicine","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental health; Data science; Computer science; Medicine","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":[0.01145756,0.00008690525,0.0005210988,0.002434505,0.0001623966,0.00006373849,0.0003413195,0.00005303683,0.0003104347],"category_scores_gemma":[0.002098229,0.0000719889,0.0001552378,0.005236063,0.0004603477,0.0001868934,0.0002054534,0.0006807219,0.00001311981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703927,"about_ca_system_score_gemma":0.003229911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000380767,"about_ca_topic_score_gemma":0.00002919384,"domain_scores_codex":[0.9930647,0.0006535936,0.000906499,0.00024101,0.004264758,0.0008694311],"domain_scores_gemma":[0.9955513,0.0004440538,0.0003173981,0.0001317958,0.0005769733,0.0029785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009749248,0.00176943,0.7164566,0.0001464487,0.001021734,0.0001376387,0.0007679002,0.00000623516,0.0001316491,0.002164612,0.01228447,0.2641384],"study_design_scores_gemma":[0.001236056,0.004058753,0.949302,0.00007202459,0.00001268974,0.0001271979,0.00187873,0.0004148423,0.000009045272,0.0002659089,0.04257063,0.00005208182],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8503014,0.005618263,0.0002206305,0.1427682,0.0001285633,0.0002152542,0.0002033756,0.000003758991,0.0005406071],"genre_scores_gemma":[0.9890253,0.006390888,0.0003281957,0.003976884,0.0002102397,0.000001864066,0.00003036857,0.000005900068,0.00003038513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2640863,"threshold_uncertainty_score":0.5729723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2360323256156664,"score_gpt":0.5230924081017609,"score_spread":0.2870600824860945,"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."}}