{"id":"W602504804","doi":"","title":"Seasonal Variation and Repeatability in High Speed IRI Surveys on Alberta Provincial Highways","year":2008,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Repeatability; Environmental science; Geography; Statistics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002689154,0.0001266409,0.0002358116,0.0009485571,0.0005038648,0.0005758354,0.0006778151,0.0002153956,0.0004783064],"category_scores_gemma":[0.008255291,0.0001949136,0.000155316,0.001338453,0.000639996,0.0002374837,0.0004285929,0.0002419337,0.0001150275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002276965,"about_ca_system_score_gemma":0.001524016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4701285,"about_ca_topic_score_gemma":0.7047355,"domain_scores_codex":[0.9974849,0.000429234,0.0001162961,0.0003909389,0.001229103,0.0003495559],"domain_scores_gemma":[0.9942724,0.001494984,0.001293007,0.0005132134,0.002220849,0.0002056964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000115768,0.00003797147,0.9793023,0.00002686358,0.00005650733,0.00008937727,0.002806146,0.0008648313,0.003134396,0.00008847359,0.0005261121,0.0129511],"study_design_scores_gemma":[4.588389e-7,0.00001229,0.9989303,0.000001849537,0.000002640435,0.00001252219,0.0004988405,0.0002101372,0.0001226234,0.000007555792,0.0001982236,0.000002552239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997274,0.00006893363,0.0007651878,0.00003164269,0.000007131481,0.00001297738,0.0002721803,0.00002377047,0.001544246],"genre_scores_gemma":[0.9987602,0.00003172009,0.0003528468,0.00001208107,0.00000306834,0.000006889932,0.0003757586,0.000005856607,0.0004514548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5298715,"threshold_uncertainty_score":0.9347841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008107238535503224,"score_gpt":0.1909556333490969,"score_spread":0.1828483948135937,"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."}}