{"id":"W3186941199","doi":"10.30996/exp.v8i01.974","title":"OPTIMALISASI WAKTU DAN BIAYA DENGAN LINEAR SCHEDULING METHOD PADA PROYEK PEMBANGUNAN GEDUNG ARSIP DINAS PEKERJAAN UMUM KALIMANTAN TENGAH DI PALANGKA RAYA","year":2015,"lang":"id","type":"article","venue":"EXTRAPOLASI","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Horticulture; Physics; Biology","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":[0.0008199969,0.001142755,0.0006658885,0.0008099774,0.001107485,0.001793602,0.000872333,0.0006976889,0.01684475],"category_scores_gemma":[0.001183175,0.0004954129,0.0009626082,0.0009700935,0.0003678863,0.001204847,0.0008699778,0.001084786,0.004328947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176476,"about_ca_system_score_gemma":0.003512753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006515542,"about_ca_topic_score_gemma":0.01184154,"domain_scores_codex":[0.9992866,0.0001687571,0.00004960034,0.000159178,0.000232657,0.0001032767],"domain_scores_gemma":[0.999276,0.0002457155,0.00007606484,0.00007569867,0.0002590815,0.00006743742],"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":[0.0006971923,0.0004813334,0.003416474,0.001262496,0.0001241714,0.0003329046,0.0005835512,0.1552632,0.09059751,0.02543751,0.01800199,0.7038017],"study_design_scores_gemma":[0.0001814978,0.0009417277,0.004558121,0.0001748192,0.0002032933,0.0006252996,0.001086422,0.7442967,0.08188034,0.02261398,0.1432553,0.0001825477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03694586,0.001319771,0.9166483,0.0007299606,0.0003632668,0.0003368022,0.0004394154,0.004612415,0.03860418],"genre_scores_gemma":[0.2989734,0.00208289,0.6201234,0.0003068257,0.0001803162,0.000590393,0.001214083,0.001109917,0.07541872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01684475,"threshold_uncertainty_score":0.0563513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04167808666851788,"score_gpt":0.2893976852730797,"score_spread":0.2477195986045619,"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."}}