{"id":"W4387216911","doi":"10.59697/jik.v5i2.274","title":"OPTIMALISASI RUANGAN PRAKTIKUM MENGGUNAKAN PEMROGRAMAN LINIER INTEGER (STUDI KASUS : STMIK KAPUTAMA)","year":2021,"lang":"id","type":"article","venue":"Jurnal Informatika Kaputama (JIK)","topic":"Decision Support System Applications","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Physics; Humanities; Art","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":[0.002052105,0.001249543,0.0008569898,0.0007751154,0.0006917057,0.003664351,0.001431572,0.0008474256,0.0272947],"category_scores_gemma":[0.00508172,0.0005464397,0.001145463,0.001154406,0.0006036248,0.003191068,0.001580103,0.002348429,0.003577784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869756,"about_ca_system_score_gemma":0.003182549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510919,"about_ca_topic_score_gemma":0.005988491,"domain_scores_codex":[0.9984579,0.0004657871,0.00008150542,0.000300223,0.0004059333,0.0002886674],"domain_scores_gemma":[0.9980544,0.001165436,0.0001373892,0.0002283898,0.0003059943,0.0001083925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009261672,0.0004888168,0.002433313,0.001687683,0.0001473967,0.0002476189,0.0006003084,0.3216808,0.02260161,0.165047,0.01755636,0.4665829],"study_design_scores_gemma":[0.000196176,0.00102178,0.001947405,0.0004320584,0.000193188,0.0003961941,0.0005739849,0.7840161,0.01990539,0.1225009,0.06872864,0.00008808215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08025877,0.00357979,0.8002083,0.003204945,0.0004734391,0.0003714111,0.0009072027,0.003155746,0.1078405],"genre_scores_gemma":[0.4531805,0.002648766,0.4886563,0.000875835,0.0002003833,0.0003337498,0.0009771236,0.001202935,0.0519244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0272947,"threshold_uncertainty_score":0.09130985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678564120321012,"score_gpt":0.2703418008725613,"score_spread":0.2435561596693512,"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."}}