{"id":"W4415303139","doi":"10.18280/isi.300817","title":"Recognition of Illegible Digits on Indonesian Election C1 Forms Using Convolutional Neural Network for Recapitulation Information System (SIREKAP)","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Sriwijaya","keywords":"Convolutional neural network; Information system; Feature (linguistics); Artificial neural network; Indonesian; Key (lock)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001605856,0.0004842689,0.0005771989,0.001277355,0.001600572,0.0009957536,0.0005738643,0.0004290525,0.000005985681],"category_scores_gemma":[0.0006064794,0.0005218645,0.0002431761,0.002406644,0.0001973168,0.01274838,0.0001710043,0.0003931445,0.00005861782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206009,"about_ca_system_score_gemma":0.0006166188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003381949,"about_ca_topic_score_gemma":0.0000128715,"domain_scores_codex":[0.9958041,0.0002061668,0.002305201,0.0003821515,0.0006051764,0.0006971795],"domain_scores_gemma":[0.9949152,0.0003271558,0.002269252,0.000678947,0.001680776,0.0001286654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004779157,0.00007599736,0.0008302347,0.002672954,0.0001607898,1.894401e-7,0.0030666,0.2418871,0.00005362947,0.1197293,0.001307106,0.6297383],"study_design_scores_gemma":[0.001571216,0.0004591204,0.00755003,0.002126915,0.0001386136,0.00003748487,0.000929234,0.9770663,0.0005541734,0.004910348,0.004165731,0.0004908056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1344268,0.0000751217,0.8553536,0.0001782682,0.001946237,0.001991315,0.0003784676,0.0003583249,0.005291879],"genre_scores_gemma":[0.9776424,0.00002003506,0.01831833,0.0002488056,0.0002129995,0.0003415249,0.00315088,0.00001923891,0.00004576588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8432156,"threshold_uncertainty_score":0.9997233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212111104702927,"score_gpt":0.2565244374613327,"score_spread":0.23531332699104,"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."}}