{"id":"W4220762648","doi":"10.18280/ijsdp.170113","title":"Development of Sustainable Urban Railway Service Model Using Micmac-Mactor: A Case Study in Jabodetabek Mega-Region Indonesia","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lembaga Pengelola Dana Pendidikan","keywords":"Sustainability; Business; Train; Service (business); Transport engineering; Environmental economics; Environmental planning; Marketing; Engineering; Geography; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007052046,0.0003289478,0.0002025869,0.0007018289,0.001362907,0.001508201,0.0008808522,0.000754452,0.002714979],"category_scores_gemma":[0.0007728796,0.0002220458,0.0003947914,0.001127733,0.0007528383,0.001149419,0.001178215,0.0007014615,0.0001827159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003334911,"about_ca_system_score_gemma":0.002189236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04295703,"about_ca_topic_score_gemma":0.07514379,"domain_scores_codex":[0.9996001,0.0002338935,0.00001701735,0.0000349326,0.00003929777,0.00007467597],"domain_scores_gemma":[0.9996364,0.0001932716,0.00004331681,0.00002527717,0.00005248882,0.00004936218],"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":[0.0005107785,0.002638289,0.2995059,0.0008405867,0.0001251438,0.04720928,0.04027488,0.3355983,0.004998903,0.1484935,0.006701432,0.113103],"study_design_scores_gemma":[0.00008396702,0.0004564431,0.05223538,0.0002382586,0.0001082268,0.002122126,0.1302193,0.7788578,0.002542888,0.008681592,0.02437518,0.00007890809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793634,0.00007938253,0.006090406,0.0003469511,0.000005618132,0.0001270898,0.0001275084,0.00002174144,0.01383798],"genre_scores_gemma":[0.9915632,0.0001229751,0.005969053,0.00001616818,0.000001272541,0.00007558536,0.00008460817,0.000006216951,0.002160935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04295703,"threshold_uncertainty_score":0.08541399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02401587134052303,"score_gpt":0.2450165794422409,"score_spread":0.2210007081017179,"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."}}