{"id":"W638332540","doi":"","title":"Survival Analysis of Thin Overlay and Chip Seal Treatments Using the Long-Term Pavement Performance Data","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Overlay; Asphalt; Life expectancy; Seal (emblem); Environmental science; Asphalt pavement; Chip; Geotechnical engineering; Forensic engineering; Engineering; Computer science; Materials science; Geography; Composite material; Demography","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":[0.001955246,0.0004522575,0.0003342897,0.001768608,0.0003150318,0.0005317602,0.0005568749,0.0003188894,0.0009022329],"category_scores_gemma":[0.004262218,0.0001165725,0.0007914055,0.001302709,0.0003888447,0.0003499395,0.0003441984,0.0003373279,0.0002156157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699257,"about_ca_system_score_gemma":0.001825701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.258584,"about_ca_topic_score_gemma":0.2980078,"domain_scores_codex":[0.9994393,0.00006451842,0.00003178679,0.0001360971,0.0001984909,0.0001297206],"domain_scores_gemma":[0.9964827,0.001250188,0.0006814901,0.0003130562,0.001118896,0.0001536518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000450019,0.00007991656,0.8571753,0.0001389545,0.0002784142,0.0001578215,0.0004207194,0.09662564,0.00558238,0.0007110404,0.0007526485,0.03762712],"study_design_scores_gemma":[0.000004729862,0.0002878379,0.9145103,0.00001812631,0.000113691,0.00008329679,0.0004072523,0.07854346,0.003570483,0.0002423907,0.002180979,0.00003738863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928396,0.0001357687,0.003040091,0.00001392351,0.000002232083,0.00002733385,0.003352937,0.0000340776,0.0005540413],"genre_scores_gemma":[0.9952284,0.00007279648,0.0008034831,0.000003658376,0.000001119175,0.00001822967,0.00332537,0.000006032442,0.0005410283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.258584,"threshold_uncertainty_score":0.5141577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1224354125595082,"score_gpt":0.393436573990322,"score_spread":0.2710011614308138,"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."}}