{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006398774,0.0002181398,0.0004827947,0.001515521,0.0001485947,0.00002530115,0.0007812274,0.0002067616,0.0004666577],"category_scores_gemma":[0.0001771373,0.0001878048,0.0002386668,0.00241536,0.0004615672,0.001020831,0.00000607087,0.001741615,0.000007923276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001963414,"about_ca_system_score_gemma":0.000366684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001876729,"about_ca_topic_score_gemma":0.01267309,"domain_scores_codex":[0.9931318,0.0004646218,0.002103644,0.0002594205,0.003393073,0.0006474002],"domain_scores_gemma":[0.9953685,0.0008241392,0.0005087469,0.0005008593,0.002618231,0.0001795306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001380407,0.0003648329,0.8575031,0.001097759,0.0001181938,0.000007322783,0.004399494,0.02089449,0.09714592,0.001215098,0.0008778967,0.01499552],"study_design_scores_gemma":[0.001802698,0.0009082521,0.9513912,0.0005044967,0.00002902455,1.758833e-7,0.001009971,0.006821042,0.03604374,0.0006815958,0.0006567571,0.0001511003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971738,0.00009948484,0.0004680398,0.0002234953,0.0007517933,0.0008717061,0.00003581708,0.00002385646,0.0003519356],"genre_scores_gemma":[0.9964651,0.0006354622,0.002492145,0.000006025548,0.00007880179,0.00008663796,0.00002014638,0.00005019825,0.0001654975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09388808,"threshold_uncertainty_score":0.7658457,"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."}}