{"id":"W2030998878","doi":"10.1061/41005(329)32","title":"Pavement Surface Mixture, Texture, and Skid Resistance: A Factorial Analysis","year":2008,"lang":"en","type":"article","venue":"","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Skid (aerodynamics); Factorial; Computer science; Texture (cosmology); Environmental science; Artificial intelligence; Materials science; Mathematics; Composite material; Image (mathematics)","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":[0.009059069,0.001645568,0.003128099,0.001582123,0.0009219684,0.001716017,0.001441816,0.001017531,0.005030795],"category_scores_gemma":[0.007470345,0.0006045111,0.003207501,0.001453535,0.001323539,0.0007637365,0.001021773,0.001511352,0.0007098445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146831,"about_ca_system_score_gemma":0.001616483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003287791,"about_ca_topic_score_gemma":0.00205142,"domain_scores_codex":[0.9887721,0.004366823,0.0006955486,0.002161529,0.002681323,0.001322623],"domain_scores_gemma":[0.9898888,0.006783467,0.0006612957,0.0008759638,0.001274069,0.000516345],"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":[0.1493541,0.05806384,0.1356831,0.001696116,0.005906598,0.0005281409,0.003952748,0.01205032,0.4727519,0.002014183,0.002027912,0.1559711],"study_design_scores_gemma":[0.003382885,0.3042094,0.5646551,0.0001101472,0.004761991,0.0002611476,0.001592786,0.05436063,0.0548963,0.001663742,0.009672775,0.0004332435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863708,0.0002609538,0.0101066,0.00003787343,0.0000680208,0.001286215,0.0006359581,0.0001528458,0.001080894],"genre_scores_gemma":[0.9646695,0.0002499186,0.02357257,0.0001057648,0.00008588501,0.005006716,0.001181204,0.000137121,0.004991226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009059069,"threshold_uncertainty_score":0.0479095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399192852824768,"score_gpt":0.2253316601127996,"score_spread":0.2113397315845519,"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."}}