{"id":"W4396671170","doi":"10.29333/ejmste/14577","title":"Thematic bibliometric analysis of 37 specialized journals in mathematical education research indexed in <i>Scopus</i> or <i>Web of Science</i>","year":2024,"lang":"en","type":"article","venue":"Eurasia Journal of Mathematics Science and Technology Education","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Thematic map; Web of science; Mathematics education; Bibliometrics; Thematic analysis; Citation analysis; Computer science; Library science; Citation; Mathematics; Chemistry; Qualitative research; Sociology; Social science; MEDLINE; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.02115225,0.0003190646,0.001162404,0.1464894,0.0003355382,0.0006334422,0.003160165,0.0002651112,0.00007182512],"category_scores_gemma":[0.01261176,0.0002431873,0.0001837622,0.2674806,0.003050643,0.001753307,0.0004779386,0.00091515,0.00001768865],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005422771,"about_ca_system_score_gemma":0.01202578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002523755,"about_ca_topic_score_gemma":0.00003464676,"domain_scores_codex":[0.9925704,0.0002638666,0.002427751,0.000682094,0.003257961,0.0007979152],"domain_scores_gemma":[0.9925182,0.001340083,0.001435223,0.0009937766,0.003426416,0.0002863069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002430284,0.004386535,0.003236958,0.00107031,0.0002170753,0.00003812266,0.009058346,0.0002210663,0.3553144,0.5255316,0.0008356918,0.1000656],"study_design_scores_gemma":[0.001396709,0.001410465,0.02380222,0.009275191,0.0007685372,0.001364769,0.008735174,0.3964834,0.01821281,0.5364727,0.001067487,0.001010589],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819538,0.004331219,0.004802416,0.006310295,0.0005364347,0.0004007243,0.000002714285,0.00004627681,0.001616126],"genre_scores_gemma":[0.9495111,0.001317314,0.04874437,0.00002067525,0.00008950321,0.00001651377,9.833393e-7,0.0000203234,0.0002792305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3962623,"threshold_uncertainty_score":0.9996625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943951582574493,"score_gpt":0.3862124787954752,"score_spread":0.3467729629697303,"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."}}