{"id":"W3089235402","doi":"10.5430/jms.v11n3p55","title":"Exploring Interdisciplinary Relationships Among King Abdulaziz University Departments via ResearchGate: Network Analysis and Visualizations","year":2020,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Abdulaziz University","keywords":"Betweenness centrality; Centrality; Random graph; Degree distribution; Social network analysis; Clustering coefficient; Closeness; Vertex (graph theory); Network analysis; Network science; Computer science; Social network (sociolinguistics); Complex network; Graph; Data science; Theoretical computer science; Mathematics; Artificial intelligence; Combinatorics; World Wide Web; Cluster analysis; Physics; Social media","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003198264,0.00009266615,0.0002113134,0.0002358418,0.0003119495,0.00009029226,0.000114005,0.00001397429,0.00004765968],"category_scores_gemma":[0.000001573947,0.00009074953,0.0001058772,0.0008551558,0.00004248594,0.0004320475,0.0002615192,0.0001818761,6.031428e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001792732,"about_ca_system_score_gemma":0.000006055413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001831082,"about_ca_topic_score_gemma":0.00003339764,"domain_scores_codex":[0.9991717,0.0001293047,0.0002589162,0.000140079,0.0001574081,0.000142588],"domain_scores_gemma":[0.9994869,0.00004675736,0.0002033676,0.0000777355,0.00005839734,0.0001269068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005924347,0.0000456306,0.9578263,0.00002111525,0.002080298,0.00004469362,0.0004705227,0.01361619,0.000009077721,0.01347386,0.0006560883,0.01169705],"study_design_scores_gemma":[0.000540194,0.0001509713,0.9169067,0.00006239389,0.002095944,0.000001057337,0.005181209,0.06347027,0.00001760631,0.01053629,0.0008094682,0.0002279399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7297904,0.00007525292,0.2664796,0.0001870113,0.00001473352,0.00009784003,0.00000167076,0.00001557475,0.003337939],"genre_scores_gemma":[0.9981996,0.0001107087,0.0014415,0.000005807224,0.0001359949,0.000001143573,0.00001103006,0.000005992449,0.00008822105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2684092,"threshold_uncertainty_score":0.3700658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093516516586029,"score_gpt":0.3054147927550846,"score_spread":0.1960631410964817,"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."}}