{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009658893,0.0005750443,0.0005552314,0.0006015479,0.00168759,0.0009179991,0.0009790722,0.00009982799,0.001247765],"category_scores_gemma":[0.0001320153,0.0005844863,0.0003918408,0.001199024,0.0001761806,0.001199391,0.000881899,0.0007539751,0.00006937677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002854143,"about_ca_system_score_gemma":0.0001424585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001472506,"about_ca_topic_score_gemma":0.0004251794,"domain_scores_codex":[0.9960756,0.0001191959,0.0007788329,0.0009097241,0.001174723,0.000941954],"domain_scores_gemma":[0.9982894,0.00008470413,0.000521694,0.0007577011,0.0002406985,0.0001057823],"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":[0.0002973261,0.0005406461,0.9367792,0.0002150106,0.0001407507,0.0005097174,0.0003631315,0.0001704334,0.01820511,0.002690384,0.01153568,0.02855262],"study_design_scores_gemma":[0.001207662,0.0001202935,0.4697062,0.00006821901,0.000376981,0.000123357,0.004172873,0.0007182244,0.0002741798,0.00003727145,0.522047,0.001147688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691212,0.0002120496,0.0000180143,0.001230093,0.001371395,0.0005280735,0.00002353983,0.0003748462,0.02712082],"genre_scores_gemma":[0.9948997,0.00001703479,0.00006712534,0.002691749,0.001016411,0.0001654528,0.0001478097,0.0001107259,0.0008839674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5105113,"threshold_uncertainty_score":0.9996652,"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."}}