{"id":"W3201079747","doi":"10.1007/978-3-030-77234-5_49","title":"Rapid Pavement Roughness Measurement of Geogrid-Stabilized Roads","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Total (Canada)","funders":"","keywords":"International Roughness Index; Pavement management; Geogrid; Engineering; Accelerometer; Environmental science; Surface finish; Civil engineering; Geotechnical engineering; Computer science; Structural engineering; Mechanical 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":[0.0001214068,0.0001890722,0.0001927928,0.0005129835,0.0001184158,0.0002338919,0.0003925635,0.0002466687,0.001540502],"category_scores_gemma":[0.0002316933,0.0001388514,0.0001327006,0.0003881077,0.0001294896,0.0001867562,0.0001872139,0.0001636417,0.0003550698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577022,"about_ca_system_score_gemma":0.0001113403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002383661,"about_ca_topic_score_gemma":0.004433744,"domain_scores_codex":[0.9998533,0.0000151403,0.000003587406,0.0000373883,0.00006758999,0.00002305967],"domain_scores_gemma":[0.9998599,0.00003693781,0.0000153264,0.00002589765,0.00005080993,0.00001107081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001157625,0.0001487568,0.03388356,0.0001609498,0.00004780172,0.0003037082,0.0003020179,0.0213837,0.8271332,0.0004889221,0.002060481,0.1129292],"study_design_scores_gemma":[0.00006304462,0.00096388,0.4755524,0.00002336102,0.00007009043,0.0005779749,0.000467391,0.1708108,0.346192,0.0004060601,0.004811103,0.00006185961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781852,0.000133091,0.01744384,0.00001668741,0.00002197957,0.00002328788,0.0005246729,0.0005516969,0.00309973],"genre_scores_gemma":[0.9954869,0.00004030286,0.003478051,0.00000430524,0.000003076892,0.000004563056,0.0002007738,0.00001897797,0.0007630925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002383661,"threshold_uncertainty_score":0.005153537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194245821470395,"score_gpt":0.1924375282892764,"score_spread":0.1804950700745724,"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."}}