{"id":"W2911132498","doi":"10.30659/jpsa.v14i1.3859","title":"FAKTOR-FAKTOR PENDORONG PENYEBAB TERJADINYA KEMACETAN STUDI KASUS : KAWASAN SUKUN BANYUMANIK KOTA SEMARANG","year":2019,"lang":"en","type":"article","venue":"Jurnal Planologi","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Transport engineering; Traffic congestion; Highway Capacity Manual; Computer science; Advertising; Business; Level of service; 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":[0.0006839979,0.000406527,0.0005919272,0.0007585959,0.001225018,0.001971975,0.0002964951,0.0005066171,0.0513034],"category_scores_gemma":[0.001620068,0.0002279857,0.0001222566,0.0009028909,0.0003855154,0.0006403424,0.001277489,0.0005384345,0.01176929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006637479,"about_ca_system_score_gemma":0.001956966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002433173,"about_ca_topic_score_gemma":0.002673743,"domain_scores_codex":[0.999679,0.00006244618,0.00004216717,0.00006955912,0.00009048267,0.00005645875],"domain_scores_gemma":[0.9992729,0.0002519494,0.0001267449,0.00005184579,0.0001586181,0.0001378825],"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":[0.000831088,0.001010977,0.2381504,0.006970093,0.000140781,0.012335,0.03744235,0.0008196512,0.00947932,0.02280214,0.3140604,0.3559578],"study_design_scores_gemma":[0.00005749301,0.0001869909,0.2756303,0.00208316,0.00006565638,0.00709019,0.03809523,0.0006816593,0.003790246,0.001296345,0.6709427,0.0000800764],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8253923,0.02627411,0.0007826025,0.01177958,0.003065702,0.0003962989,0.006928913,0.0002616201,0.1251188],"genre_scores_gemma":[0.8958187,0.02467803,0.001133307,0.0009389051,0.0003405792,0.0003508432,0.002317291,0.00007848957,0.07434398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0513034,"threshold_uncertainty_score":0.171627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004540036861959075,"score_gpt":0.1631802668729681,"score_spread":0.158640230011009,"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."}}