{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005543323,0.0009610439,0.001540744,0.02500244,0.001107404,0.007237079,0.0005240471,0.0007135753,0.008473152],"category_scores_gemma":[0.01143731,0.0002537641,0.00109721,0.0303834,0.0009385255,0.003400543,0.001338904,0.0006636676,0.001963039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650988,"about_ca_system_score_gemma":0.004342984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003245556,"about_ca_topic_score_gemma":0.003733983,"domain_scores_codex":[0.9954203,0.0008377918,0.0009437854,0.000508165,0.002015219,0.0002747508],"domain_scores_gemma":[0.9919611,0.003977252,0.001796573,0.0002515766,0.001865701,0.0001478986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006793548,0.0002285046,0.1308095,0.02444956,0.001434834,0.001805488,0.004711325,0.00161786,0.002630322,0.01419953,0.02114226,0.7962914],"study_design_scores_gemma":[0.0001739045,0.0006738621,0.5649237,0.01976223,0.005604151,0.006481101,0.03359083,0.00901841,0.008786006,0.01880889,0.3318081,0.0003687592],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6427158,0.1936809,0.01743199,0.009665084,0.001249358,0.0008104798,0.02278354,0.0009386048,0.1107243],"genre_scores_gemma":[0.8816225,0.07725628,0.02229069,0.0004477679,0.0005776025,0.0007352141,0.01036826,0.0001161687,0.00658557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9749976,"threshold_uncertainty_score":0.02931625,"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."}}