{"id":"W3127461284","doi":"10.26623/ijsp.v1i2.3117","title":"ANALISA KINERJA BUS RAPID TRANSIT (BRT) TRANS SEMARANG KORIDOR II TERMINAL TERBOYO-TERMINAL SISEMUT","year":2020,"lang":"en","type":"article","venue":"Indonesian Journal of Spatial Planning","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Bus rapid transit; Transport engineering; Service (business); Terminal (telecommunication); Service quality; Computer science; Public transport; Telecommunications; Business; Engineering; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004461968,0.0005072978,0.001092447,0.0004765649,0.0001924221,0.0001007259,0.0005399143,0.0002065224,0.0002204531],"category_scores_gemma":[0.00002002408,0.0004871448,0.0006254159,0.0005454344,0.00005489642,0.0005570556,0.00001303293,0.0007956345,0.000009684036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001195649,"about_ca_system_score_gemma":0.00009611487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001051495,"about_ca_topic_score_gemma":0.00003586013,"domain_scores_codex":[0.9967092,0.00009540254,0.001539887,0.0003118474,0.0007628715,0.0005808427],"domain_scores_gemma":[0.9986212,0.00007265159,0.0004002762,0.0002077535,0.0001295874,0.0005684978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003197081,0.0003144072,0.1144936,0.002526804,0.004766088,0.0480006,0.04829852,0.4874121,0.2207582,0.00001731785,0.004190298,0.06602497],"study_design_scores_gemma":[0.02910276,0.01010892,0.3429095,0.008886177,0.01070398,0.0169306,0.007436186,0.4536869,0.06697914,0.00005205468,0.04444837,0.008755401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8573571,0.001094376,0.1396061,0.0005947938,0.0005485863,0.0001896498,0.00005529245,0.0001385243,0.0004155045],"genre_scores_gemma":[0.9968771,0.00002606796,0.0008497859,0.0001337723,0.001969523,0.000005129028,0.00002346379,0.00009865041,0.00001654522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2284159,"threshold_uncertainty_score":0.999758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619411901278781,"score_gpt":0.2077641390949439,"score_spread":0.1915700200821561,"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."}}