{"id":"W4415002146","doi":"10.33005/kern.v11i2.74","title":"Analisis Tingkat Kerusakan Perkerasan Jalan Lentur Menggunakan Metode Bina Marga dan Aplikasi Roadlab Pro","year":2025,"lang":"id","type":"article","venue":"KERN Jurnal Ilmiah Teknik Sipil","topic":"Urban Transport Systems Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Encana (Canada)","funders":"","keywords":"International Roughness Index; Wharf","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001517221,0.001959709,0.00260645,0.00179622,0.0009107655,0.0008515865,0.001838491,0.001025982,0.0009506574],"category_scores_gemma":[0.0001689759,0.002042365,0.001649189,0.003617893,0.0002272906,0.0007740876,0.0002752186,0.002362448,0.000625361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499952,"about_ca_system_score_gemma":0.0004605662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003810383,"about_ca_topic_score_gemma":0.002008588,"domain_scores_codex":[0.990291,0.0005212493,0.003071839,0.001961014,0.001803541,0.002351339],"domain_scores_gemma":[0.9951729,0.0002718258,0.0007933986,0.002275467,0.0005289363,0.0009575219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008804443,0.002497089,0.702433,0.009153621,0.02939405,0.002362227,0.01295708,0.01146555,0.09845164,0.003879121,0.07895619,0.04756994],"study_design_scores_gemma":[0.01053559,0.001054339,0.3943541,0.00662684,0.01422015,0.0003021034,0.009860544,0.05684705,0.03783619,0.0002762263,0.4592587,0.008828176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9300057,0.01378432,0.003241987,0.002210556,0.004105397,0.001834244,0.0003783974,0.001440369,0.04299904],"genre_scores_gemma":[0.9781638,0.0007130595,0.000585027,0.0003147779,0.001277013,0.0001422755,0.0002826254,0.0004238111,0.01809764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3803025,"threshold_uncertainty_score":0.9999626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00989709222685693,"score_gpt":0.2274498157102182,"score_spread":0.2175527234833613,"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."}}