{"id":"W2950584742","doi":"10.25104/warlit.v22i1.996","title":"Evaluasi Kinerja Dalam Pelayanan Kereta Rel Listrik Eksekutif Jabodetabek","year":2010,"lang":"en","type":"article","venue":"Warta Penelitian Perhubungan","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Ticket; Service (business); Computer science; Train; Class (philosophy); Transport engineering; Computer network; Business; Engineering","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":[0.0003711219,0.0003091012,0.0002794288,0.0008403235,0.000554515,0.00138127,0.0002005447,0.000179911,0.007827656],"category_scores_gemma":[0.0005337834,0.0001214044,0.0002206427,0.0009671735,0.000327362,0.0005242859,0.0004530348,0.0002900367,0.0007154547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705842,"about_ca_system_score_gemma":0.001247664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02935117,"about_ca_topic_score_gemma":0.07669658,"domain_scores_codex":[0.9998205,0.00003334348,0.00001417182,0.00003003614,0.00004946393,0.00005252423],"domain_scores_gemma":[0.9998187,0.00005492113,0.00002416499,0.000008486187,0.00007422457,0.00001942443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001000421,0.0007010446,0.6183905,0.001150681,0.0001878541,0.001224651,0.01460825,0.008228501,0.01767793,0.007215265,0.004973413,0.3246416],"study_design_scores_gemma":[0.00002199889,0.0005770409,0.9120708,0.0002250595,0.0001360665,0.0002968466,0.0467553,0.006821075,0.006814099,0.0007301581,0.02551629,0.00003512612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829032,0.000481716,0.001054449,0.00008250959,0.00001295755,0.00006308054,0.0006541089,0.00001588125,0.01473206],"genre_scores_gemma":[0.9880217,0.0004503804,0.001717191,0.00001770474,0.000003468092,0.00005124048,0.0006307771,0.000008053417,0.009099434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02935117,"threshold_uncertainty_score":0.05836064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002870408273397513,"score_gpt":0.1703990908457726,"score_spread":0.1675286825723751,"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."}}