{"id":"W2950966790","doi":"10.1371/journal.pone.0218273","title":"Network analysis to evaluate the impact of research funding on research community consolidation","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, Davis; University of California, San Diego; University of Toronto; University of Oregon; Virginia Polytechnic Institute and State University; University of Chicago; Harvard University; Ohio State University; Yale University; Alfred P. Sloan Foundation","keywords":"Consolidation (business); Library science; Foundation (evidence); Research program; Political science; Public relations; Data science; Operations research; Computer science; Engineering; Business; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01760211,0.00008781724,0.0002455851,0.0009171799,0.000938373,0.00009243511,0.0005858269,0.00009869182,0.0002851915],"category_scores_gemma":[0.001215414,0.00006279631,0.00006041656,0.006735737,0.000246497,0.0001524574,0.0006420583,0.001087686,0.0005348265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827659,"about_ca_system_score_gemma":0.00005018868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009539023,"about_ca_topic_score_gemma":0.00005573616,"domain_scores_codex":[0.9977905,0.0004743941,0.0002302615,0.0001660964,0.0008881969,0.0004505719],"domain_scores_gemma":[0.9973435,0.0007304829,0.00007618573,0.0005436191,0.00129815,0.000008001621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003384782,0.001483112,0.7146089,0.0001590866,0.00338814,9.616014e-7,0.001575752,0.001263695,0.003161895,0.2672422,0.005860863,0.0009168793],"study_design_scores_gemma":[0.0005032372,0.0002651141,0.8856823,0.0003139791,0.000266458,5.441873e-8,0.004714004,0.005899556,0.00302463,0.09886064,0.0001995646,0.000270408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519565,0.000008048613,0.00002975246,0.001251611,0.00002768227,0.0006475335,0.000001270219,0.00003611861,0.04604153],"genre_scores_gemma":[0.9989673,0.000002893925,0.000165954,0.0001915221,0.0001841575,0.00006277076,0.00002847009,0.00001115127,0.0003857877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1710734,"threshold_uncertainty_score":0.7217301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3949779692124548,"score_gpt":0.4278897037559057,"score_spread":0.03291173454345098,"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."}}