{"id":"W2001063821","doi":"10.3141/2155-06","title":"Performance of Recycled Hot-Mix Asphalt Overlays in Rehabilitation of Flexible Pavements","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Highway Administration","keywords":"Overlay; Asphalt pavement; Asphalt; Engineering; Reuse; Rut; Aggregate (composite); Statistical analysis; Forensic engineering; Civil engineering; Environmental science; Waste management; Computer science; Mathematics; Statistics; Materials science","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":[0.0008629799,0.0005025544,0.000350873,0.0007786112,0.000360952,0.0003844097,0.000435273,0.0002890057,0.000719524],"category_scores_gemma":[0.001381242,0.0001771433,0.0003762197,0.0004284769,0.0003022954,0.0004606816,0.0004449269,0.0002296359,0.0001863606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006050642,"about_ca_system_score_gemma":0.0003728909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008040856,"about_ca_topic_score_gemma":0.01683942,"domain_scores_codex":[0.9993145,0.000158599,0.00004511812,0.0001013886,0.0003005972,0.00007972298],"domain_scores_gemma":[0.9993387,0.000132452,0.0001575897,0.00006055228,0.0001810438,0.0001296465],"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":[0.005978297,0.001952292,0.2059519,0.0004504144,0.0003298898,0.0005269932,0.001093268,0.03156057,0.6628366,0.0001444648,0.0002367174,0.08893872],"study_design_scores_gemma":[0.00005985223,0.04521098,0.5159921,0.00004743216,0.0003349512,0.0006322775,0.001084658,0.01808813,0.4170466,0.0001118811,0.001321713,0.00006947565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996912,0.0000314817,0.0001318866,0.000001129466,6.918062e-7,0.000004136738,0.00002223864,0.000003468284,0.0001138451],"genre_scores_gemma":[0.9992014,0.00003166502,0.0004252972,0.00000125132,6.527697e-7,0.0000035099,0.00005805766,0.000002753066,0.000275543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008040856,"threshold_uncertainty_score":0.01598811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05042972595498245,"score_gpt":0.3557974242385042,"score_spread":0.3053676982835217,"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."}}