{"id":"W7117537976","doi":"10.1109/icscn67106.2025.11308420","title":"Voice based Guide for Semi-Literate Loan Applicant","year":2025,"lang":"","type":"article","venue":"","topic":"ICT in Developing Communities","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Loan; Documentation; Consistency (knowledge bases); Download; Comprehension; Disadvantage; Student loan","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007865293,0.000994368,0.0005292454,0.0007261062,0.0007457447,0.001248588,0.001230384,0.001764086,0.2663898],"category_scores_gemma":[0.003080549,0.000332205,0.0003430674,0.0002715776,0.0003355614,0.001180594,0.001634224,0.00125952,0.1798837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002724477,"about_ca_system_score_gemma":0.0008450711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009495953,"about_ca_topic_score_gemma":0.002242341,"domain_scores_codex":[0.9996512,0.0001211007,0.00003627947,0.00003920391,0.00008529683,0.00006699043],"domain_scores_gemma":[0.998867,0.0004444985,0.00004064648,0.00007526739,0.0003402175,0.0002324777],"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":[0.0002672492,0.0003985241,0.0007632163,0.0004954934,0.000003417461,0.002738477,0.002425625,0.000237472,0.008650359,0.002025901,0.7662647,0.2157296],"study_design_scores_gemma":[0.00004512777,0.0002185164,0.001410504,0.0001731899,0.000003557107,0.002191939,0.0009968047,0.0006475732,0.001740811,0.001478461,0.9910654,0.00002804951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03589803,0.004305818,0.2278748,0.01358518,0.004498858,0.007523608,0.01310147,0.078151,0.6150613],"genre_scores_gemma":[0.06775498,0.00437546,0.1633082,0.009796711,0.0008631928,0.007322717,0.00621055,0.005873661,0.7344946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2663898,"threshold_uncertainty_score":0.8911625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417809290942576,"score_gpt":0.2965760370860249,"score_spread":0.2723979441765991,"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."}}