{"id":"W4415913515","doi":"10.18280/ijsdp.200934","title":"The Financial Inclusion-SDGs Nexus: Evidence from ASEAN","year":2025,"lang":"","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Current (fluid); Key (lock); Financial analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001226977,0.0003164185,0.000258125,0.001372944,0.0008111077,0.001769166,0.0004441434,0.000381021,0.0027662],"category_scores_gemma":[0.003759242,0.0001243195,0.0002185494,0.004200788,0.001199649,0.00174733,0.001674575,0.0007596482,0.0002991651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121079,"about_ca_system_score_gemma":0.001482752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07639477,"about_ca_topic_score_gemma":0.1271434,"domain_scores_codex":[0.9994868,0.0001725015,0.00003107257,0.00004995996,0.0001516665,0.0001079303],"domain_scores_gemma":[0.9945586,0.002196602,0.001853483,0.0001998572,0.0008403132,0.0003510089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005949284,0.0008513955,0.9068096,0.0003088568,0.0003664217,0.002160065,0.004297503,0.003972076,0.0007301151,0.01902197,0.01129454,0.04959253],"study_design_scores_gemma":[0.00002827333,0.0001419929,0.9626829,0.0001566233,0.0001849427,0.000288272,0.01145936,0.003083733,0.0007142131,0.003819968,0.01740546,0.00003443515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831867,0.0007840198,0.0002253904,0.0009827352,0.000006513515,0.000006650666,0.001094215,0.000008813004,0.01370486],"genre_scores_gemma":[0.9962637,0.001030901,0.0001107778,0.00008103745,0.00001082183,0.000006369567,0.001150625,0.000002754743,0.001343077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07639477,"threshold_uncertainty_score":0.1519002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092607447041505,"score_gpt":0.2613644901147638,"score_spread":0.2404384156443487,"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."}}