{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02684782,0.0007790851,0.001591824,0.1294265,0.002433872,0.007448415,0.0007523721,0.0009045299,0.005410824],"category_scores_gemma":[0.1646963,0.0003176453,0.002762848,0.1863136,0.00206468,0.004899622,0.0032406,0.000822049,0.0007368483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005199062,"about_ca_system_score_gemma":0.004766743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009487792,"about_ca_topic_score_gemma":0.006020862,"domain_scores_codex":[0.9645419,0.01584367,0.00377402,0.002347804,0.01231794,0.001174708],"domain_scores_gemma":[0.8188973,0.1453917,0.01105651,0.007631826,0.01567302,0.001349641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002605143,0.0001821215,0.6091692,0.004813734,0.002246878,0.0006504673,0.009930922,0.01112158,0.0007479026,0.06172045,0.02518893,0.2739674],"study_design_scores_gemma":[0.00009195969,0.000333918,0.779792,0.001621765,0.001002147,0.0009821487,0.02024869,0.06064865,0.0007840777,0.06769912,0.06661831,0.0001772059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7898788,0.01277721,0.05073453,0.006691921,0.0004426174,0.002474993,0.03678356,0.0009323609,0.09928396],"genre_scores_gemma":[0.9666837,0.003130211,0.0167924,0.0001797483,0.0003512405,0.001301498,0.009897664,0.00009362201,0.001569933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8705735,"threshold_uncertainty_score":0.1419865,"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."}}