{"id":"W4402501666","doi":"10.11159/icceia24.143","title":"Searching for Precision in Pavement Evaluation: A Comparative Analysis of Smartphones for Measuring the International Roughness Index (IRI)","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universidad Técnica Particular de Loja","keywords":"International Roughness Index; Computer science; Index (typography); Surface finish; Engineering; World Wide Web; Mechanical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0005674867,0.0001255949,0.0002381004,0.0006219716,0.00005481495,0.00007389027,0.0006184169,0.0000469132,0.000002047775],"category_scores_gemma":[0.0002144356,0.0000759598,0.0001354307,0.0009339478,0.00006890587,0.0001367706,0.0001283521,0.0001781878,1.037095e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000148072,"about_ca_system_score_gemma":0.00002515306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000116165,"about_ca_topic_score_gemma":0.0001292546,"domain_scores_codex":[0.9990323,0.000003097584,0.0002885972,0.0001741443,0.0003417186,0.0001601986],"domain_scores_gemma":[0.9993215,0.0002581572,0.0000919525,0.0001156077,0.0002051734,0.000007651913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005117003,0.00006679191,0.02762727,0.001092084,0.004246776,4.519273e-7,0.005876305,0.3956166,0.07241175,0.07996371,0.006958073,0.4056285],"study_design_scores_gemma":[0.0004617751,0.00003774501,0.004210079,0.001123421,0.0002476301,4.224541e-7,0.00296007,0.4183463,0.550392,0.01830397,0.003775818,0.0001407462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892038,0.0009085506,0.00177212,0.002421285,0.002270259,0.001795687,0.00002336393,0.0003564913,0.001248503],"genre_scores_gemma":[0.9984695,0.00002515936,0.0009987499,0.00000507814,0.00004925273,0.0003006044,0.00000150995,0.00001021755,0.000139872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4779802,"threshold_uncertainty_score":0.3097551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03836902937031392,"score_gpt":0.3120820492965445,"score_spread":0.2737130199262305,"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."}}