{"id":"W2329569958","doi":"10.17266/34.1.8","title":"The Sunbelt 2013 Data: Mapping the Field of Social Network Analysis","year":2014,"lang":"en","type":"article","venue":"Connections","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Social network analysis; Data science; Computer science; World Wide Web; Social media; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001274253,0.00004939098,0.000113121,0.00002188784,0.003725722,0.00007875017,0.0004971161,0.00007373937,0.0001385675],"category_scores_gemma":[0.0005657225,0.00003137493,0.0001187619,0.001115193,0.0003037205,0.00008399672,0.000105052,0.0001358421,0.00001350102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001401088,"about_ca_system_score_gemma":0.00003940405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00381444,"about_ca_topic_score_gemma":0.05111828,"domain_scores_codex":[0.999038,0.0003074573,0.0001437385,0.000122117,0.0001671631,0.0002215279],"domain_scores_gemma":[0.9970348,0.002487904,0.0000954182,0.000270596,0.00008026246,0.00003096226],"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":[0.000006879493,0.00001924145,0.004253475,0.00000171981,0.0004508846,1.073172e-7,0.01637156,0.0003305404,0.000002252284,0.4773364,0.482152,0.01907494],"study_design_scores_gemma":[0.00004953063,0.00001150257,0.01288029,0.000002340301,0.0001918831,5.889979e-8,0.01302567,0.001293947,0.000001079729,0.01390635,0.9585676,0.00006978382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1865057,0.005144348,0.04369747,0.3825649,0.01039434,0.001187741,0.0000545656,0.0004215301,0.3700294],"genre_scores_gemma":[0.9949869,0.0002225412,0.0000204062,0.0005040069,0.002607952,0.0000122666,0.000008165352,0.000003539405,0.001634255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8084812,"threshold_uncertainty_score":0.9975713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0483790263862972,"score_gpt":0.3281394254957462,"score_spread":0.279760399109449,"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."}}