{"id":"W4384920478","doi":"10.59897/jsi.v4i1.124","title":"Aplikasi Database Untuk Mengelola Persediaan Barang di Toko Baju D’Clothing Menggunakan Pendekatan Entity Relationship Chart","year":2023,"lang":"en","type":"article","venue":"Jurnal Sains Indonesia","topic":"Multimedia Learning Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Clothing; Computer science; Database; Table (database); sync; Chart; Key (lock); Computer security; Telecommunications; Statistics; Mathematics; Frame (networking)","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":[0.001189019,0.0006172012,0.0007152863,0.002047832,0.000909734,0.004782795,0.001184805,0.0006482935,0.02359929],"category_scores_gemma":[0.003681773,0.0004889892,0.0006575167,0.003502292,0.0003292023,0.005422714,0.001536311,0.0009127246,0.008807387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009965379,"about_ca_system_score_gemma":0.001620436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006653686,"about_ca_topic_score_gemma":0.004119081,"domain_scores_codex":[0.9987866,0.0001282644,0.0002072945,0.0003687592,0.0004103116,0.00009875946],"domain_scores_gemma":[0.9984591,0.0004400576,0.00009548583,0.0004244589,0.0004931259,0.00008781437],"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":[0.001317182,0.0004239145,0.008283521,0.001708275,0.0001659779,0.001565854,0.001546253,0.005634702,0.02413941,0.0551438,0.2647403,0.6353309],"study_design_scores_gemma":[0.0002050479,0.0001798443,0.005349903,0.0002675678,0.000135597,0.001507058,0.0009236251,0.05040654,0.03935919,0.01722987,0.8843232,0.0001125508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.08051942,0.006319564,0.4853046,0.004119454,0.001216279,0.00150678,0.1286132,0.1927294,0.09967138],"genre_scores_gemma":[0.3699065,0.004463409,0.3318507,0.0008549509,0.0002275545,0.0006785688,0.2308221,0.005923504,0.05527272],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02359929,"threshold_uncertainty_score":0.07894748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607890101829982,"score_gpt":0.2806554489545637,"score_spread":0.2445765479362639,"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."}}