{"id":"W7139321494","doi":"","title":"Ukrainian Pedagogical Science: Bibliometric Audit. ІV quarter of 2023","year":2023,"lang":"uk","type":"other","venue":"Digital Library NAES of Ukraine (National Academy of Educational Sciences of Ukraine)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Ukrainian; Scopus; Bibliometrics; Web of science","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":[0.003648005,0.000304287,0.0006278292,0.02386739,0.001454972,0.005438894,0.0005605771,0.0006645034,0.00652071],"category_scores_gemma":[0.01727253,0.0002481407,0.0005308965,0.07262453,0.0005085887,0.003055609,0.001894546,0.0008365932,0.003784855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008530647,"about_ca_system_score_gemma":0.01787419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1536276,"about_ca_topic_score_gemma":0.1490694,"domain_scores_codex":[0.995205,0.0005317433,0.0008617492,0.0002675546,0.002766822,0.0003670368],"domain_scores_gemma":[0.9865398,0.001655387,0.002535275,0.00048938,0.008066505,0.0007136505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002294275,0.0001180398,0.327704,0.003964064,0.0002589703,0.0003339734,0.004529973,0.0009339167,0.0005781468,0.01524491,0.364205,0.2818995],"study_design_scores_gemma":[0.000008457875,0.00003378153,0.6643506,0.000528426,0.00005937154,0.000132841,0.003103277,0.0004845309,0.0005431496,0.0008625054,0.329863,0.00003000889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2671004,0.06574544,0.001519178,0.03143213,0.002740066,0.0004818674,0.4213056,0.001955638,0.2077197],"genre_scores_gemma":[0.7728724,0.03104939,0.003065736,0.001806989,0.001074043,0.0004456637,0.1350907,0.0003090945,0.05428602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9761326,"threshold_uncertainty_score":0.3054668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08020174174557416,"score_gpt":0.3752497989293666,"score_spread":0.2950480571837925,"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."}}