{"id":"W4406584072","doi":"10.61132/uranus.v3i1.657","title":"Sistem Pendukung Keputusan Menentukan Pemilihan Lokasi untuk Cabang Baru Toko Liv Beauty Cosmetic menggunakan Metode TOPSIS","year":2025,"lang":"en","type":"article","venue":"Uranus Jurnal Ilmiah Teknik Elektro Sains dan Informatika","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"TOPSIS; Computer science; Mathematics; Operations research","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"],"consensus_categories":[],"category_scores_codex":[0.001957333,0.0009083507,0.001156483,0.001630926,0.001110216,0.0009653831,0.003942039,0.0005611027,0.00003908841],"category_scores_gemma":[0.0004640126,0.0008758429,0.0005187131,0.002503708,0.0003343106,0.003109565,0.001100813,0.001278586,0.0002037622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143175,"about_ca_system_score_gemma":0.0008301508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002976205,"about_ca_topic_score_gemma":0.0002619471,"domain_scores_codex":[0.9932509,0.0003856446,0.002274513,0.0009388833,0.001527853,0.001622196],"domain_scores_gemma":[0.9951923,0.0006067734,0.0009187114,0.002184207,0.0005965211,0.0005014296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001974424,0.0008110902,0.01965829,0.001376254,0.002188434,0.0004032321,0.01393969,0.002101147,0.01043721,0.731233,0.03895456,0.1786996],"study_design_scores_gemma":[0.01235921,0.001773548,0.04766497,0.002976689,0.0009849875,0.00277914,0.008751943,0.2260966,0.08000945,0.0146669,0.5950358,0.006900752],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5582018,0.004475227,0.2324396,0.01449899,0.006916504,0.004598836,0.0001574986,0.00510658,0.1736048],"genre_scores_gemma":[0.9777561,0.000127926,0.01639708,0.001804519,0.0002683658,0.0002349652,0.00008458618,0.0000554709,0.003270929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7165661,"threshold_uncertainty_score":0.9993692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006893619250547087,"score_gpt":0.2376992329141998,"score_spread":0.2308056136636527,"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."}}