{"id":"W3023179275","doi":"","title":"SISTEM APLIKASI PERSEDIAAN BARANG JADI MENGGUNAKAN METODE FIFO PADA PT.PRIMA INDAH UNTUK MENGHINDARI REDUNDANSI LAPORAN PERSEDIAAN","year":2017,"lang":"id","type":"article","venue":"","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Finished good; Business; Database; Order (exchange); Operations management; Agricultural science; Business administration; Computer science; Engineering; Production (economics); Economics; Finance; Environmental science; Microeconomics","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":[0.0009203417,0.0006971084,0.0006015067,0.0008226912,0.001113416,0.003050116,0.0007525166,0.0007243858,0.06498057],"category_scores_gemma":[0.001120077,0.0004789755,0.0003429516,0.0008207479,0.0004473623,0.001815415,0.001181575,0.001071619,0.0231554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008035543,"about_ca_system_score_gemma":0.001321446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001970337,"about_ca_topic_score_gemma":0.002363447,"domain_scores_codex":[0.9992921,0.00009885224,0.0000460962,0.0001552144,0.0003133544,0.0000943404],"domain_scores_gemma":[0.9993007,0.0001419462,0.00004291065,0.00009953438,0.0003701184,0.00004473011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00108126,0.0003438144,0.004011768,0.001140034,0.00005909009,0.0005794826,0.001242807,0.003687192,0.09268882,0.02481071,0.05003978,0.8203152],"study_design_scores_gemma":[0.00009304643,0.0005011617,0.007928971,0.0002157747,0.0001063073,0.00115706,0.001390732,0.01566099,0.1158703,0.01048618,0.8464796,0.0001098533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1733067,0.01132717,0.2584468,0.004785268,0.004527627,0.0006011697,0.002982258,0.01149278,0.5325302],"genre_scores_gemma":[0.4647137,0.003484933,0.1417468,0.0006293703,0.0004306001,0.0002708185,0.003535117,0.001485168,0.3837034],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06498057,"threshold_uncertainty_score":0.2173817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03169946923525022,"score_gpt":0.2788897645191607,"score_spread":0.2471902952839105,"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."}}