{"id":"W604897755","doi":"","title":"Impact Analysis of Individual Distresses on Overall Pavement Condition Assessment","year":2008,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rut; Scale (ratio); Process (computing); International Roughness Index; Rating scale; Distress; Engineering; Computer science; Asphalt; Statistics; Surface finish; Mathematics; Mechanical engineering; Psychology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003663912,0.00009950691,0.0001717612,0.0001667388,0.00003124624,0.000009564239,0.00006594481,0.00003061952,0.0003193236],"category_scores_gemma":[0.00000296907,0.00007584144,0.0001113193,0.0001825727,0.00001644143,0.00006218517,0.00001195512,0.0000667109,0.000002131814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009007542,"about_ca_system_score_gemma":0.00001115469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003394757,"about_ca_topic_score_gemma":0.000006495829,"domain_scores_codex":[0.9994066,0.000006417013,0.000152605,0.00008191757,0.0002112363,0.000141186],"domain_scores_gemma":[0.9997577,0.00002208115,0.00002832073,0.0001317935,0.0000259481,0.00003416782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000009821669,0.00009135158,0.2690652,0.0000372695,0.003889678,0.0000216614,0.0005218395,0.7060504,0.01116911,0.001683621,0.005149668,0.002310444],"study_design_scores_gemma":[0.0001725953,0.00007520193,0.9793134,0.00001063794,0.0001764243,9.324074e-7,0.00004112439,0.003042817,0.01692046,0.00004212909,0.0001058837,0.00009843956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903101,0.00001089886,0.004688036,0.000004060507,0.0001353518,0.00005084358,0.00007096583,0.00006106896,0.00466872],"genre_scores_gemma":[0.9991429,0.00003374797,0.0005843486,0.00001678831,0.00004951765,0.00000588136,0.0001267653,0.000007793037,0.00003223178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7102482,"threshold_uncertainty_score":0.349637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194719576600095,"score_gpt":0.2791338966681262,"score_spread":0.2671867009021252,"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."}}