{"id":"W4386513958","doi":"10.55123/storage.v2i3.2344","title":"ANALISIS OPTIMASI WAKTU DAN BIAYA DENGAN METODE TIME COST TRADE OFF","year":2023,"lang":"id","type":"article","venue":"STORAGE Jurnal Ilmiah Teknik dan Ilmu Komputer","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics; Physics","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":[0.001330136,0.001070296,0.0007803169,0.001271555,0.0005792259,0.002697807,0.0006556876,0.0007257361,0.01338921],"category_scores_gemma":[0.004326031,0.0004148279,0.0008620322,0.001517894,0.0002977693,0.00169666,0.00050428,0.001272272,0.001739533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321794,"about_ca_system_score_gemma":0.001307798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01266301,"about_ca_topic_score_gemma":0.01459477,"domain_scores_codex":[0.9989927,0.0001778588,0.00004781421,0.0001635259,0.0004369433,0.0001812062],"domain_scores_gemma":[0.9973027,0.001638198,0.0001625767,0.0001361039,0.0006755971,0.00008486182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00359228,0.001028817,0.03600384,0.002399501,0.0004076697,0.0007545152,0.001172913,0.4602205,0.05258765,0.01018585,0.01606749,0.415579],"study_design_scores_gemma":[0.0001516857,0.002604424,0.06234052,0.0003748809,0.0005703747,0.0006522257,0.005351077,0.8262283,0.05659224,0.008867896,0.03605678,0.0002096695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8143243,0.005565089,0.08905187,0.001713794,0.0002704164,0.0004463805,0.002542486,0.001429618,0.08465615],"genre_scores_gemma":[0.9339775,0.00123468,0.04255642,0.0001523869,0.00002650661,0.0001832602,0.001251752,0.0002944904,0.02032295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01338921,"threshold_uncertainty_score":0.04479134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620476488318717,"score_gpt":0.2381783815376446,"score_spread":0.2219736166544574,"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."}}