{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004880536,0.002010455,0.002515942,0.0007518632,0.005131189,0.007133139,0.008901767,0.001285243,0.001194062],"category_scores_gemma":[0.001657202,0.001950493,0.001124554,0.0007178658,0.001578463,0.00319549,0.002412163,0.002618626,0.003507143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050537,"about_ca_system_score_gemma":0.001960727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006860893,"about_ca_topic_score_gemma":0.001842212,"domain_scores_codex":[0.9856831,0.00170723,0.002328656,0.003825282,0.003332255,0.003123506],"domain_scores_gemma":[0.9856495,0.0008966318,0.002414682,0.008116012,0.0009015496,0.002021599],"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":[0.0008133485,0.003387995,0.07082319,0.004403894,0.005898572,0.004569507,0.3325602,0.0009775184,0.02748539,0.05987557,0.1208184,0.3683864],"study_design_scores_gemma":[0.009602867,0.001412989,0.03761631,0.001548692,0.0007057877,0.0004100634,0.01137021,0.1707401,0.00739922,0.0001933431,0.7528877,0.006112686],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2881938,0.005397571,0.04082037,0.04161058,0.05317644,0.009372159,0.000337507,0.004611389,0.5564802],"genre_scores_gemma":[0.9105842,0.0001461709,0.01387584,0.000727677,0.003110438,0.0001457811,0.00007319594,0.0002932364,0.07104342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6320693,"threshold_uncertainty_score":0.9997525,"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."}}