{"id":"W4383033483","doi":"10.36341/racic.v8i1.3075","title":"OPTIMALISASI KINERJA PERSIMPANGAN TIDAK SEBIDANG PADA KAWASAN PERBELANJAAN MALL SKA – LIVING WORLD (SIMPANG JL. TUANKU TAMBUSAI – JL. SOEKARNO HATTA) DI PEKANBARU","year":2023,"lang":"id","type":"article","venue":"Racic Rab Construction Research","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Political science","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":[0.0004358578,0.0008304371,0.0009843169,0.0004499045,0.0007479713,0.001833511,0.0006806238,0.0007039017,0.01337891],"category_scores_gemma":[0.000515041,0.0003625032,0.0009664347,0.0004659343,0.0004382154,0.001059064,0.001004896,0.001370765,0.003076194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074172,"about_ca_system_score_gemma":0.001362593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007498374,"about_ca_topic_score_gemma":0.01551517,"domain_scores_codex":[0.9994531,0.00006049272,0.00003596168,0.0001494517,0.0001965671,0.0001044079],"domain_scores_gemma":[0.9997787,0.00004328168,0.00002628167,0.00002387603,0.00008843856,0.00003941266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002439464,0.0008205376,0.01130707,0.002047783,0.0001469265,0.000288455,0.0005514624,0.005351583,0.893063,0.002701397,0.002765862,0.07851648],"study_design_scores_gemma":[0.0002069666,0.009148623,0.08346798,0.0003992533,0.0007694452,0.000643342,0.003846173,0.01237208,0.7343285,0.003351015,0.1512519,0.0002147516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128209,0.005746091,0.01521815,0.0006859992,0.0003989936,0.0004225564,0.003468386,0.0005290256,0.06070988],"genre_scores_gemma":[0.9356445,0.002813166,0.01604563,0.0002700126,0.00002741644,0.0003149124,0.002577472,0.0002626714,0.04204415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01337891,"threshold_uncertainty_score":0.04475695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05097183411066949,"score_gpt":0.3166777529884516,"score_spread":0.2657059188777822,"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."}}