{"id":"W3198144684","doi":"10.2196/32639","title":"Public Health Surveillance Systems in the Eastern Mediterranean Region: Bibliometric Analysis of Scientific Literature","year":2021,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Environmental health; Public health surveillance; Geography; Data science; Political science; Computer science; Medicine","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009747664,0.0003991651,0.00127343,0.147794,0.001130825,0.005174362,0.0007492729,0.000641351,0.002587285],"category_scores_gemma":[0.0548739,0.000197448,0.00138359,0.1802678,0.000881659,0.003550364,0.002264595,0.0003065855,0.0003116267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002610432,"about_ca_system_score_gemma":0.004195485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005968762,"about_ca_topic_score_gemma":0.005925033,"domain_scores_codex":[0.9911992,0.002000323,0.002666634,0.0007469697,0.003027885,0.0003589599],"domain_scores_gemma":[0.9259725,0.04661099,0.01567363,0.001408208,0.009354438,0.000980281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003049989,0.0001417587,0.7600594,0.02179587,0.002341637,0.001071352,0.009038512,0.00176097,0.000786782,0.004443961,0.009442281,0.1888125],"study_design_scores_gemma":[0.00004087475,0.0001522942,0.9421114,0.006233315,0.001800998,0.001546202,0.01673913,0.00370559,0.0005357323,0.002876828,0.02418891,0.00006876756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8734592,0.07967654,0.001431719,0.002743746,0.000117311,0.0004014748,0.02291991,0.0001423251,0.0191078],"genre_scores_gemma":[0.9632302,0.0250265,0.002793525,0.0001314702,0.0001535091,0.000239504,0.007937922,0.00001841415,0.000468926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.852206,"threshold_uncertainty_score":0.05155122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09630747337210392,"score_gpt":0.3433746282847089,"score_spread":0.247067154912605,"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."}}