{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001326553,0.001111245,0.0009018578,0.001742465,0.001568332,0.005803085,0.0005771412,0.0006625304,0.01591425],"category_scores_gemma":[0.001775576,0.0004191244,0.0007433203,0.002509888,0.0008334388,0.002525797,0.002129165,0.0009753197,0.004176768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307303,"about_ca_system_score_gemma":0.002353458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003297841,"about_ca_topic_score_gemma":0.004644147,"domain_scores_codex":[0.9987099,0.0002458045,0.0001313743,0.0002252306,0.0005431602,0.000144584],"domain_scores_gemma":[0.9993373,0.0002027101,0.00007516857,0.00004210648,0.0003034423,0.00003927016],"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":[0.0005587668,0.0004484815,0.02822101,0.00260773,0.0003288955,0.00325871,0.006416343,0.01629243,0.0306059,0.06794864,0.01115242,0.8321607],"study_design_scores_gemma":[0.0001882544,0.001082988,0.09722307,0.002399284,0.001142012,0.007912771,0.04882066,0.158481,0.05243298,0.09827151,0.5315409,0.0005045185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4371294,0.01036937,0.2154175,0.002648909,0.001082189,0.000903462,0.001771621,0.001614316,0.3290633],"genre_scores_gemma":[0.8569623,0.006845284,0.07866367,0.0002142482,0.00008492712,0.0003227172,0.001973402,0.0001699281,0.05476344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01591425,"threshold_uncertainty_score":0.05323839,"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."}}