{"id":"W2909057070","doi":"10.30659/jpsa.v14i1.3856","title":"DAMPAK TERMINAL MANGKANG KOTA SEMARANG DAN PERMASALAHAN DI KAWASAN SEKITARNYA STUDI KASUS : TERMINAL MANGKANG SEMARANG","year":2019,"lang":"en","type":"article","venue":"Jurnal Planologi","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Terminal (telecommunication); Transport engineering; Computer science; Operations research; Telecommunications; Engineering","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":[0.0001959703,0.0002529231,0.0002029403,0.0003060776,0.001158256,0.001082878,0.0002003731,0.0002656041,0.005879737],"category_scores_gemma":[0.0003936682,0.000100697,0.000226875,0.000577525,0.000479001,0.0006461404,0.0007653291,0.0004070941,0.0005265659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007552998,"about_ca_system_score_gemma":0.001048463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00404604,"about_ca_topic_score_gemma":0.01563222,"domain_scores_codex":[0.9998634,0.0000287242,0.000006629014,0.00002666468,0.0000293504,0.0000452624],"domain_scores_gemma":[0.9998069,0.00005839801,0.00003814781,0.00001116819,0.0000377477,0.00004759489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004185365,0.001202378,0.7268991,0.001177509,0.0001328689,0.00784639,0.0864501,0.002620578,0.01536144,0.009498524,0.005102148,0.1432905],"study_design_scores_gemma":[0.00001524199,0.0006391073,0.7380567,0.0002452437,0.0001220725,0.001417175,0.2172755,0.0009124649,0.003719283,0.001264125,0.03629842,0.00003474351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940012,0.0001296516,0.0001533212,0.00007244039,0.00000727891,0.00001455924,0.00003842187,0.000004445322,0.005578726],"genre_scores_gemma":[0.9961292,0.0002887644,0.0003212172,0.00001886208,0.000002511246,0.00001831095,0.00007063645,0.000002728239,0.003147797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005879737,"threshold_uncertainty_score":0.01966965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00801709149894173,"score_gpt":0.1996132049050709,"score_spread":0.1915961134061292,"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."}}