{"id":"W4392783255","doi":"10.62603/konteks.v1i4.78","title":"ANALISIS BIAYA KEMACETAN LALU LINTAS BERDASARKAN V/C RATIO (Studi Kasus: Rute Kabupaten Cilacap – Kabupaten Bandung)","year":2024,"lang":"id","type":"article","venue":"Konferensi Nasional Teknik Sipil (KoNTekS)","topic":"Computer Science and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Mathematics","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":[0.00166495,0.0006692813,0.0007270793,0.001475526,0.0006571221,0.002166054,0.0006651446,0.0009801866,0.0111826],"category_scores_gemma":[0.002335308,0.0004678966,0.0009296191,0.001312836,0.0004135077,0.001189363,0.0005875785,0.001462846,0.00294988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006939641,"about_ca_system_score_gemma":0.0006112602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004674467,"about_ca_topic_score_gemma":0.006995751,"domain_scores_codex":[0.9986695,0.0002037114,0.0001007612,0.0002769479,0.0005910635,0.0001580075],"domain_scores_gemma":[0.9981742,0.0007014825,0.0002473078,0.00008879713,0.0007032163,0.00008503057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0135294,0.002122945,0.09194426,0.009170493,0.001036852,0.001772137,0.005431095,0.001296306,0.5757983,0.002445448,0.008198553,0.2872542],"study_design_scores_gemma":[0.0001549824,0.01233202,0.2157082,0.00142144,0.002172762,0.002746584,0.01126354,0.002732273,0.6334582,0.001864611,0.1159038,0.00024171],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240438,0.03725342,0.005900016,0.0007645847,0.000425083,0.0006670922,0.003004288,0.0002966017,0.02764504],"genre_scores_gemma":[0.9094724,0.01641841,0.01261466,0.0007633204,0.0001051265,0.0007110282,0.002237543,0.0003125046,0.05736494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111826,"threshold_uncertainty_score":0.03740954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102269833676901,"score_gpt":0.2612503357971239,"score_spread":0.2302276374603549,"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."}}