{"id":"W6991434966","doi":"","title":"GÖZETİM ALANINDA İLETİŞİM ÜZERİNE YAPILAN ARAŞTIRMALARIN BİBLİYOMETRİK ANALİZİ: WEB OF SCİENCE (WOS)","year":2025,"lang":"en","type":"article","venue":"DergiPark (Istanbul University)","topic":"COVID-19 Digital Contact Tracing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Field (mathematics); Bibliometrics; Web of science; Inclusion (mineral); China; Scientific communication","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004944985,0.0004452271,0.0006283966,0.002854544,0.0003427667,0.0003438602,0.003004834,0.0002090551,0.00007721559],"category_scores_gemma":[0.0003241012,0.000534438,0.0002709454,0.009819662,0.0002716397,0.001608323,0.001348491,0.0004431265,0.00006861479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000593071,"about_ca_system_score_gemma":0.001293118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003655923,"about_ca_topic_score_gemma":0.0003350909,"domain_scores_codex":[0.9966578,0.0001709537,0.0005374597,0.001114791,0.0007363891,0.0007826385],"domain_scores_gemma":[0.996767,0.0005906135,0.0003336478,0.001492657,0.0005159031,0.0003001469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006097627,0.0009016084,0.07893625,0.0009144374,0.0006614747,0.00251347,0.001686314,0.001772281,0.01751233,0.8765277,0.007028784,0.01093554],"study_design_scores_gemma":[0.00518992,0.0008608875,0.0737018,0.001165257,0.000266665,0.00005693685,0.001426306,0.01735861,0.02195391,0.002721422,0.8728709,0.002427428],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5551764,0.0008126304,0.2235827,0.003509714,0.001616238,0.0009711881,0.0001001425,0.001135838,0.2130952],"genre_scores_gemma":[0.9880823,0.0001082052,0.003693802,0.0005068822,0.00003023023,0.000001272648,0.00001436661,0.00002066282,0.007542254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8738063,"threshold_uncertainty_score":0.9997107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132031899219843,"score_gpt":0.2231847993745402,"score_spread":0.2118644803823417,"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."}}