{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002728941,0.000288495,0.0001385258,0.0006191446,0.0008207427,0.001571921,0.0002893015,0.0002376992,0.007447351],"category_scores_gemma":[0.0004848567,0.0001294262,0.000153233,0.0008479797,0.0003240754,0.0008832167,0.0007809172,0.0003339559,0.0006205471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000959256,"about_ca_system_score_gemma":0.001160648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005503602,"about_ca_topic_score_gemma":0.01346893,"domain_scores_codex":[0.9998549,0.00004010956,0.0000115731,0.00002211966,0.00002925299,0.00004200821],"domain_scores_gemma":[0.9998578,0.00003335989,0.00003084332,0.00001040899,0.00003991556,0.00002764585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001986527,0.0006058415,0.5755863,0.0007092789,0.00004682348,0.001687741,0.017828,0.001733718,0.005647888,0.0171742,0.00663826,0.3721433],"study_design_scores_gemma":[0.00004586673,0.0003701531,0.791846,0.0009714679,0.0001298756,0.00225129,0.08090736,0.006945553,0.004902421,0.005407943,0.1061402,0.000081951],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547046,0.000498388,0.002322345,0.0005201183,0.00002211023,0.00008492183,0.0002978822,0.00006241883,0.04148719],"genre_scores_gemma":[0.9911206,0.0003626575,0.002585588,0.00007374533,0.00000345286,0.00005338175,0.0002314151,0.000006432093,0.005562833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007447351,"threshold_uncertainty_score":0.02491391,"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."}}