{"id":"W2010831422","doi":"10.1080/00330124.2010.533560","title":"Social Network Analysis of the Academic GIScience Community","year":2010,"lang":"en","type":"article","venue":"The Professional Geographer","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Social network analysis; Field (mathematics); Social network (sociolinguistics); Sociology; Geography; Data science; Humanities; Social science; Computer science; World Wide Web; Social media; Social capital; Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00429485,0.0002631237,0.0004088662,0.02045431,0.001344185,0.003263883,0.0006785147,0.0007563849,0.004199976],"category_scores_gemma":[0.03276578,0.0001606762,0.0004526644,0.01610111,0.00122713,0.00356159,0.002445967,0.0004342245,0.0004384071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002369933,"about_ca_system_score_gemma":0.001110657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00943461,"about_ca_topic_score_gemma":0.007131439,"domain_scores_codex":[0.9963042,0.001907862,0.000194031,0.0004387992,0.00092183,0.0002332548],"domain_scores_gemma":[0.9698125,0.01793426,0.005944555,0.001244965,0.003850369,0.001213347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000435554,0.0001982675,0.6174819,0.0007309267,0.00043928,0.0006773229,0.01546744,0.04277479,0.002871987,0.1430747,0.009547943,0.1662999],"study_design_scores_gemma":[0.00005397349,0.0001598815,0.4677012,0.0003396448,0.0002210359,0.0008564885,0.02282695,0.3281632,0.002540922,0.1245468,0.05247055,0.0001192564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368507,0.001166267,0.03303785,0.001964961,0.00005616123,0.0001565668,0.002375855,0.0001746183,0.02421693],"genre_scores_gemma":[0.9916924,0.0002373337,0.006091011,0.00003499147,0.00004173649,0.00007275927,0.000707661,0.00001749509,0.001104652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9795457,"threshold_uncertainty_score":0.02271366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868222018186761,"score_gpt":0.3296915999704854,"score_spread":0.3110093797886178,"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."}}