{"id":"W2026567078","doi":"10.1139/l01-075","title":"Analysis of the wavelength content of the longitudinal profiles for C-LTPP test sections","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overlay; Wavelength; Surface finish; Structural engineering; International Roughness Index; Geotechnical engineering; Materials science; Engineering; Computer science; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000225858,0.0002922654,0.0001989707,0.001346629,0.0002384437,0.0003030904,0.0002454362,0.0002061231,0.001151849],"category_scores_gemma":[0.0007633418,0.0001348374,0.000215821,0.0006771142,0.0001411998,0.00031899,0.0001787925,0.00034313,0.0003572411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003204162,"about_ca_system_score_gemma":0.0002146993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005323843,"about_ca_topic_score_gemma":0.009443486,"domain_scores_codex":[0.999792,0.00001098462,0.000009072314,0.00002922837,0.0001328949,0.00002584916],"domain_scores_gemma":[0.9991463,0.0002018458,0.0001322908,0.00008466666,0.0003969032,0.00003794726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004605961,0.0001698399,0.07788426,0.0001604215,0.00005368667,0.0002279805,0.0003752098,0.01428843,0.6659341,0.0003413778,0.0007318302,0.2393722],"study_design_scores_gemma":[0.000009636178,0.0003689033,0.518902,0.00001820162,0.00008714786,0.0006278441,0.0004692142,0.08869857,0.3876846,0.0002276003,0.002813589,0.00009252668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8891717,0.0001702563,0.1050607,0.00003725053,0.00002076046,0.00005900911,0.0008273763,0.001057612,0.003595248],"genre_scores_gemma":[0.9709237,0.0001138846,0.02684596,0.00001283069,0.000005964662,0.0000282975,0.0006090127,0.00008179458,0.001378532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005323843,"threshold_uncertainty_score":0.01058573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646338107665095,"score_gpt":0.1782364051562573,"score_spread":0.1617730240796064,"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."}}