{"id":"W4403755618","doi":"10.22219/jmts.v22i1.30680","title":"Analisis Kemampuan Membayar dan Kemauan Membayar Pengguna Jasa Angkutan Umum Trayek AL (Arjosari-Landungsari) Kota Malang","year":2024,"lang":"id","type":"article","venue":"Jurnal Media Teknik Sipil","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Medicine","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":[0.001512998,0.0007602362,0.0005878172,0.001634921,0.001192881,0.002538289,0.0006864183,0.0009491235,0.008999885],"category_scores_gemma":[0.001835953,0.0004333073,0.0008990472,0.001619669,0.0006380253,0.001055318,0.001030147,0.001052635,0.002354832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008673927,"about_ca_system_score_gemma":0.00154436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01539744,"about_ca_topic_score_gemma":0.03225674,"domain_scores_codex":[0.9984801,0.0003178811,0.0001792401,0.0002489281,0.0005098747,0.0002639133],"domain_scores_gemma":[0.9986905,0.0002818248,0.0003315038,0.00008668848,0.0005024842,0.0001069256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001701047,0.0007373542,0.7327949,0.003529678,0.0004814798,0.00427708,0.01171966,0.0007297338,0.0890427,0.002611448,0.009722471,0.1426524],"study_design_scores_gemma":[0.00004686159,0.001976675,0.7345368,0.001129391,0.0007554904,0.005323729,0.03938185,0.001520655,0.07190882,0.002026369,0.1412448,0.0001486616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435638,0.0105344,0.005552742,0.00170496,0.0002965785,0.0005323486,0.006836049,0.000171681,0.0308073],"genre_scores_gemma":[0.9335089,0.006621721,0.009333169,0.0009240019,0.00007080261,0.0003653876,0.003629689,0.00007745852,0.04546892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01539744,"threshold_uncertainty_score":0.03061563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131047460559945,"score_gpt":0.22423248089241,"score_spread":0.2111277348364155,"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."}}