{"id":"W4383560951","doi":"10.32497/akunbisnis.v6i1.4574","title":"PEMETAAN DAN MODEL KEBUTUHAN LITERASI KEUANGANG UMKM DI KECAMATAN TEMBALANG","year":2023,"lang":"en","type":"article","venue":"Jurnal Aktual Akuntansi Keuangan Bisnis Terapan (AKUNBISNIS)","topic":"Financial Literacy and Behavior","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Financial literacy; Business; Nonprobability sampling; Finance; Population; Sociology","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009691795,0.001260573,0.001190379,0.00177636,0.00134281,0.00177805,0.001400364,0.0004710255,0.0001639328],"category_scores_gemma":[0.0001834973,0.001177359,0.0007962036,0.003591372,0.0003079926,0.004443947,0.0007159847,0.001122278,0.001933428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101803,"about_ca_system_score_gemma":0.0001310155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005064107,"about_ca_topic_score_gemma":0.0003791537,"domain_scores_codex":[0.9931927,0.00008620825,0.00161213,0.001526991,0.001519631,0.002062287],"domain_scores_gemma":[0.997151,0.000143982,0.0007770359,0.001214249,0.0004994379,0.0002142709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00112949,0.002276714,0.6805232,0.001496247,0.0005690659,0.002662205,0.006469855,0.001323205,0.09251168,0.06696305,0.05903609,0.08503917],"study_design_scores_gemma":[0.004527575,0.0003285347,0.6003665,0.001040949,0.0009135195,0.0002413556,0.001956178,0.04288528,0.003416192,0.002081917,0.3375166,0.004725343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985505,0.0001910002,0.0002829826,0.001630639,0.001535211,0.0008526883,0.000193332,0.001797123,0.008012036],"genre_scores_gemma":[0.9857196,0.00007303974,0.0003365488,0.00473907,0.00406777,0.0001510205,0.0009701836,0.0003162081,0.003626576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2784805,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737794791295737,"score_gpt":0.2496444886990659,"score_spread":0.2222665407861085,"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."}}