{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001552474,0.0003628954,0.0001896176,0.000311001,0.001220159,0.001949315,0.0003080166,0.0003710853,0.02139789],"category_scores_gemma":[0.000158707,0.0001382489,0.0001929054,0.0004592394,0.0003359256,0.001092311,0.001144121,0.0007170977,0.003214607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007061582,"about_ca_system_score_gemma":0.001219293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002450167,"about_ca_topic_score_gemma":0.006762336,"domain_scores_codex":[0.9999089,0.00001220422,0.00000618721,0.00002258224,0.00002168526,0.00002833053],"domain_scores_gemma":[0.9998834,0.00001357036,0.00001643489,0.000009180271,0.00003838206,0.00003893347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006325506,0.0008378427,0.06590505,0.001965733,0.00006855083,0.006722155,0.009669356,0.00361477,0.03541978,0.05920061,0.06979468,0.7461689],"study_design_scores_gemma":[0.00002883904,0.0002772861,0.08779654,0.0006666031,0.00009351185,0.00336657,0.02091506,0.003787575,0.01146071,0.00546961,0.8660634,0.0000744877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.492042,0.008668545,0.009359836,0.006559055,0.001196229,0.0002109332,0.0008235438,0.0005338852,0.4806059],"genre_scores_gemma":[0.7584347,0.005273622,0.006558072,0.000379852,0.0001164256,0.0001272103,0.0004580166,0.0001251571,0.228527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02139789,"threshold_uncertainty_score":0.07158309,"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."}}