{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002868599,0.001656285,0.002018268,0.001427367,0.00170048,0.006451329,0.002157333,0.0008992979,0.02000001],"category_scores_gemma":[0.001132164,0.001618013,0.001277225,0.004149454,0.0003942744,0.007758543,0.002614572,0.002008524,0.05706935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004774095,"about_ca_system_score_gemma":0.000878395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000204164,"about_ca_topic_score_gemma":0.0001644653,"domain_scores_codex":[0.9885511,0.0001753558,0.004723499,0.001391695,0.002924962,0.002233325],"domain_scores_gemma":[0.9897019,0.00051373,0.003138822,0.002595769,0.00360434,0.000445495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002893647,0.001790312,0.008282532,0.002306503,0.001727302,0.0008393266,0.004254951,0.0001288995,0.0002794389,0.01223968,0.9323977,0.03546403],"study_design_scores_gemma":[0.002653795,0.0001010763,0.007355726,0.0009235549,0.0006820736,0.0004382686,0.009928635,0.002297188,0.0001980535,0.0006266552,0.972998,0.001796965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09672188,0.002630024,0.003232977,0.01093741,0.007036617,0.003159834,0.000248287,0.001078846,0.8749541],"genre_scores_gemma":[0.803094,0.0006478499,0.004944706,0.01629404,0.007825587,0.0008193163,0.00214804,0.0006058295,0.1636206],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7113335,"threshold_uncertainty_score":0.9996184,"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."}}