{"id":"W4409394662","doi":"10.58229/jissbd.v3i1.286","title":"Utilizing AI In Indonesia's Financial Sector: Strategies For Inclusive Economic Development","year":2025,"lang":"en","type":"article","venue":"Journal Integration of Social Studies and Business Development","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Financial sector; Financial sector development; Business; Financial inclusion; Finance; Financial system; Economics; Economic growth; Financial services","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004659493,0.0002385853,0.0004556852,0.0005038352,0.0007413965,0.0003661854,0.0001487055,0.00009846629,0.000006435856],"category_scores_gemma":[0.0001642221,0.0002100288,0.00005532364,0.00047365,0.0001173819,0.001182205,0.0002399925,0.0001762944,0.000003004714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005785503,"about_ca_system_score_gemma":0.0007718251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006107742,"about_ca_topic_score_gemma":0.001552411,"domain_scores_codex":[0.9985467,0.000006566192,0.0007999965,0.000224123,0.0001557472,0.0002669147],"domain_scores_gemma":[0.9986985,0.00005120905,0.0004737545,0.00003878856,0.0007298095,0.000007897459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000709656,0.000294178,0.02337738,0.002670523,0.0004557288,0.00001530841,0.01054572,0.0001499531,0.001241826,0.5193375,0.01701377,0.4241885],"study_design_scores_gemma":[0.002025164,0.00002024751,0.7107145,0.001630918,0.00004942863,0.000004341099,0.02322431,0.000199142,0.0009317692,0.03497131,0.2255754,0.0006534319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812762,0.000947145,0.01041079,0.002707925,0.001216396,0.0004667861,0.00000205204,0.00003211647,0.002940556],"genre_scores_gemma":[0.9969792,0.0001093517,0.001654088,0.0006851741,0.0003520326,0.00007237118,0.00001029583,0.00001343753,0.0001240389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6873371,"threshold_uncertainty_score":0.8564726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322206701548426,"score_gpt":0.2985496794920324,"score_spread":0.2653276124765481,"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."}}