{"id":"W3009671763","doi":"10.1177/0961000620907958","title":"Collaboration clusters, interdisciplinarity, scope and subject classification of library and information science research from Africa: An analysis of Web of Science publications from 1996 to 2015","year":2020,"lang":"en","type":"article","venue":"Journal of Librarianship and Information Science","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Scope (computer science); Subject (documents); Information science; Library science; Computer science; Data science; Political science; World Wide Web; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication"],"consensus_categories":["bibliometrics","scholarly_communication"],"category_scores_codex":[0.02448023,0.0001175788,0.0004385118,0.06891798,0.0006375102,0.006182586,0.002995293,0.00007880363,0.00004998408],"category_scores_gemma":[0.02249966,0.00008759655,0.00005063758,0.2631071,0.004245909,0.1493626,0.001630353,0.0002668117,0.000003086416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006832171,"about_ca_system_score_gemma":0.003756187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006656951,"about_ca_topic_score_gemma":0.000006734582,"domain_scores_codex":[0.9885621,0.0002127642,0.001927599,0.0003817517,0.008573758,0.0003419903],"domain_scores_gemma":[0.9868078,0.001688101,0.001715323,0.0005323392,0.008307526,0.000948946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006574196,0.0002162585,0.6321172,0.000071642,0.00007133589,5.051817e-7,0.07598343,0.0007776459,0.1232827,0.08438459,0.001826658,0.08061071],"study_design_scores_gemma":[0.0003449198,0.0004849672,0.857591,0.00003103751,0.00002548242,0.000001229831,0.01710048,0.1134559,0.008546646,0.001149402,0.001174395,0.00009450647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836614,0.0001740061,0.005024458,0.006879332,0.000135633,0.0002676133,0.0002605258,0.00000714712,0.003589879],"genre_scores_gemma":[0.9937029,0.0003298043,0.005792798,0.0001269785,0.0000246586,0.000002505621,0.00001366624,0.000002388191,0.000004231063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2254739,"threshold_uncertainty_score":0.998464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4194052641794983,"score_gpt":0.5149488567052041,"score_spread":0.09554359252570577,"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."}}