{"id":"W6894115518","doi":"10.5281/zenodo.7121385","title":"MAPPING THE INTELLECTUAL STRUCTURE OF SOCIAL FINANCE: A BIBLIOMETRIC OVERVIEW","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Horizon 2020 Framework Programme","keywords":"Field (mathematics); Bibliometrics; Social research; Domain (mathematical analysis); Core (optical fiber); Social network analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005074296,0.00008272238,0.0001923329,0.002012137,0.001590769,0.0003828421,0.000654082,0.00005670411,0.01935107],"category_scores_gemma":[0.001441048,0.00008543405,0.00007490819,0.01389884,0.0001049531,0.000145162,0.0007959784,0.0002481539,0.001152748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009236686,"about_ca_system_score_gemma":0.000006297446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002065836,"about_ca_topic_score_gemma":7.885243e-7,"domain_scores_codex":[0.9990943,0.0001282962,0.0003072851,0.0001757958,0.00008492258,0.0002093955],"domain_scores_gemma":[0.9992293,0.00005682962,0.0001659552,0.000249168,0.0002644816,0.00003422478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003966379,0.0002783091,0.0001625261,0.0002480607,0.0002875137,0.000009927703,0.06350275,0.00002386308,0.001681955,0.2174377,0.3312075,0.3851202],"study_design_scores_gemma":[0.0002215801,0.00002979159,0.01661317,0.00001208159,0.000002537156,0.00001389108,0.001188512,0.00006683262,0.0001706484,0.00346573,0.9781047,0.000110522],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8057419,0.006040461,0.002498963,0.002771374,0.0002836257,0.0003667125,0.0008161849,0.0002224201,0.1812584],"genre_scores_gemma":[0.9973397,0.001126358,0.00009949056,0.0001424247,0.0000710871,1.044446e-8,0.0003163891,0.0002358466,0.0006687082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6468972,"threshold_uncertainty_score":0.999709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310754272342913,"score_gpt":0.266922096745066,"score_spread":0.1358466695107746,"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."}}