{"id":"W4313414977","doi":"10.31940/jbk.v18i3.207-218","title":"Analisis Aspek Keperilakuan Terhadap Penerapan Sistem Akuntansi Persediaan Pada Dinas PUPRD Provinsi Sulut","year":2022,"lang":"en","type":"article","venue":"Jurnal Bisnis dan Kewirausahaan","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Perception; Psychology; Population; Set (abstract data type); Value (mathematics); Sample (material); Applied psychology; Marketing; Statistics; Sociology; Business; Computer science; Demography; Mathematics","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":[0.0009748441,0.0003786456,0.0003324467,0.0009070154,0.0006474226,0.001324021,0.0002240608,0.0002368673,0.005235823],"category_scores_gemma":[0.001529042,0.0001575031,0.00034493,0.001518856,0.0003686687,0.0005981877,0.0004519693,0.0004870375,0.0005855416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006155637,"about_ca_system_score_gemma":0.0006478905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01141913,"about_ca_topic_score_gemma":0.01679003,"domain_scores_codex":[0.9995317,0.000109741,0.00004084425,0.00007393512,0.0001665428,0.00007719282],"domain_scores_gemma":[0.9989762,0.0003730307,0.0001943007,0.0000426719,0.0003294319,0.00008439453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000246162,0.0001939922,0.9140931,0.000257113,0.0001719087,0.0009499558,0.01510498,0.0002725589,0.001980142,0.001116541,0.001970947,0.06364267],"study_design_scores_gemma":[0.000002787856,0.00006896737,0.9758059,0.0000390741,0.00005259616,0.0001975252,0.01868158,0.0003873156,0.0005895877,0.0001170567,0.004047961,0.000009537326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955635,0.0002853249,0.0001638302,0.0001091645,0.00001582881,0.000009740553,0.0001683383,0.000007970247,0.003676315],"genre_scores_gemma":[0.9966334,0.0003466712,0.0003143149,0.00001722037,0.00001002167,0.00001204213,0.0002688227,0.000003721446,0.002393834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141913,"threshold_uncertainty_score":0.02270532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060389069780454,"score_gpt":0.2245615410434166,"score_spread":0.203957650345612,"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."}}