{"id":"W4211256977","doi":"10.31949/jb.v2i3.736","title":"PENDAMPINGAN PENGELOLAAN KEUANGAN DAN PENYUSUNAN LAPORAN KEUANGAN BERBASIS ANDROID PADA UMKM KELURAHAN MANGUNHARJO KECAMATAN TEMBALANG KOTA SEMARANG","year":2021,"lang":"en","type":"article","venue":"BERNAS Jurnal Pengabdian Kepada Masyarakat","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Business; Mindset; Financial management; Finance; Business administration; Accounting; Computer science","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":[0.003628239,0.001005264,0.001143312,0.0004665024,0.002932289,0.002090456,0.00161232,0.0004962772,0.001396998],"category_scores_gemma":[0.002399998,0.001097948,0.000670314,0.001803937,0.000524823,0.001912733,0.0006288851,0.001229505,0.0003958816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008223127,"about_ca_system_score_gemma":0.001545329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002425339,"about_ca_topic_score_gemma":0.01959567,"domain_scores_codex":[0.9907874,0.001586783,0.001355662,0.001602882,0.002276046,0.002391204],"domain_scores_gemma":[0.9947419,0.001252708,0.0007144567,0.001107503,0.0006158508,0.001567648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008891308,0.00136968,0.7302542,0.0008271327,0.00118597,0.01050373,0.0435517,0.00003404107,0.01426354,0.01675716,0.07368939,0.1066743],"study_design_scores_gemma":[0.002669635,0.0001684392,0.2254031,0.0008888349,0.0002477045,0.0004346475,0.03742132,0.00008543117,0.004861433,0.0008196348,0.7240665,0.002933295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7609803,0.001455884,0.0000256924,0.004855582,0.002672285,0.000699662,0.00009426552,0.0005047586,0.2287115],"genre_scores_gemma":[0.9728308,0.0006802161,0.00109333,0.0009820116,0.001866269,0.00005895257,0.0003532082,0.0002085574,0.02192664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6503771,"threshold_uncertainty_score":0.9995158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203148970704834,"score_gpt":0.2749986025761866,"score_spread":0.2529671128691383,"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."}}