{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001070254,0.0002441244,0.0004482122,0.001459077,0.0002408404,0.00007328789,0.0003423778,0.00005123875,0.00001600429],"category_scores_gemma":[0.00001424229,0.0002611986,0.00005854735,0.0006203874,0.00001052006,0.000459677,0.0001523078,0.0003658819,1.588019e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001149629,"about_ca_system_score_gemma":0.0006792282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000415479,"about_ca_topic_score_gemma":0.00009956425,"domain_scores_codex":[0.9974169,0.00005764765,0.00120094,0.0001901687,0.0007284714,0.0004059089],"domain_scores_gemma":[0.998686,0.00004881067,0.0004021704,0.00009357883,0.0006678221,0.0001015814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001839931,0.0002162599,0.1466866,0.0002824223,0.0008562843,0.06123595,0.1502402,0.6392675,0.0004515969,0.0001103359,0.00006054386,0.0004082917],"study_design_scores_gemma":[0.002885573,0.00006405377,0.01119436,0.0001936085,0.0001239087,0.003076107,0.8855474,0.0929004,0.0006923953,0.00004140725,0.002691694,0.000589088],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930114,0.0005753469,0.005852473,0.0000150056,0.0001548384,0.0002906006,0.000001708372,0.0000196892,0.000079003],"genre_scores_gemma":[0.9956997,0.000003224895,0.003991442,0.00001792088,0.00004363346,0.00002561791,0.000009427455,0.00003476668,0.0001742488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7353072,"threshold_uncertainty_score":0.999984,"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."}}