{"id":"W4293758631","doi":"10.26593/jhpji.v8i2.5993.91-102","title":"KEUNGGULAN INOVATIF PEMBANGUNAN JALAN TOL LAYANG PETTARANI UNTUK MENDUKUNG MODERNISASI JARINGAN JALAN DI METROPOLITAN MAMMINASATA","year":2022,"lang":"en","type":"article","venue":"Jurnal HPJI","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Metropolitan area; Geography; Toll; Transport engineering; Cartography; Engineering; Archaeology","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"],"consensus_categories":[],"category_scores_codex":[0.0004761516,0.0005090223,0.0007397237,0.0006132948,0.0004931026,0.0001223708,0.0007751294,0.0001143307,0.0007683429],"category_scores_gemma":[0.00001411841,0.0005457359,0.0003578312,0.0009090059,0.00004423424,0.0002707796,0.0001377637,0.0008853396,0.00006853175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160955,"about_ca_system_score_gemma":0.00004519293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001953418,"about_ca_topic_score_gemma":0.0008226709,"domain_scores_codex":[0.9966606,0.000106772,0.0008626098,0.0005401689,0.0009660291,0.0008637912],"domain_scores_gemma":[0.9985523,0.00004945529,0.0001750099,0.0008484543,0.00007147212,0.0003033243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001721147,0.000589692,0.8107173,0.001005682,0.004042448,0.002442814,0.01149288,0.06276502,0.07463934,0.01242006,0.01106405,0.008648549],"study_design_scores_gemma":[0.005478095,0.0009552435,0.5443103,0.000260179,0.002285284,0.001342644,0.02057966,0.2805491,0.01213587,0.001036477,0.1248949,0.00617224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850917,0.0009374921,0.001866946,0.0001368093,0.000768757,0.000317509,0.0001872897,0.0005837431,0.01010974],"genre_scores_gemma":[0.9976045,0.00001106175,0.0003087692,0.00007914296,0.0004120622,0.00008248918,0.0001933279,0.000181786,0.001126863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.266407,"threshold_uncertainty_score":0.9996994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0096306599833302,"score_gpt":0.1947853718009085,"score_spread":0.1851547118175783,"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."}}