{"id":"W4386541933","doi":"10.29313/bcsurp.v3i2.7755","title":"Kajian Kinerja Smart Mobility pada Mikrotrans di DKI Jakarta","year":2023,"lang":"en","type":"article","venue":"Bandung Conference Series Urban & Regional Planning","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Public transport; Transport engineering; Conformity; Government (linguistics); Mass transportation; Business; Process (computing); Conformity assessment; Operations management; Computer science; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003136792,0.0005031993,0.0006400776,0.0003091041,0.0002545824,0.0001497543,0.0004534755,0.0002376623,0.0001792592],"category_scores_gemma":[0.00002448028,0.000514448,0.0002684086,0.0008922324,0.000151806,0.0005520342,0.00003349678,0.0004393157,0.0001568956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009769563,"about_ca_system_score_gemma":0.00008928781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004253587,"about_ca_topic_score_gemma":0.0004653366,"domain_scores_codex":[0.9973263,0.00005761253,0.0006608795,0.0005972966,0.0005717253,0.0007861939],"domain_scores_gemma":[0.9987418,0.000124693,0.00009163666,0.0006237387,0.0001429897,0.0002751088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003481287,0.0001675383,0.7233641,0.001878494,0.001986709,0.001222729,0.01648778,0.06378201,0.04633732,0.01121566,0.1309804,0.002229219],"study_design_scores_gemma":[0.001668494,0.0002837187,0.6570225,0.001472713,0.0004447011,0.0001357965,0.004123921,0.05948172,0.003985224,0.0008592858,0.2674879,0.003033976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820356,0.0009152799,0.00542248,0.000679309,0.0008457446,0.0005322803,0.0001324771,0.002523122,0.006913739],"genre_scores_gemma":[0.995806,0.00006976164,0.0001466566,0.00004883147,0.0002658772,0.0001005091,0.0004489322,0.00008794772,0.003025488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365076,"threshold_uncertainty_score":0.9997307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03456589133963011,"score_gpt":0.2269612136853876,"score_spread":0.1923953223457575,"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."}}