{"id":"W2998257112","doi":"10.1155/2019/9646091","title":"Interlayer Working Conditions Classification and Treatment Measures of Airport Asphalt Pavement Overlay","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asphalt; Overlay; Geotechnical engineering; Rut; Asphalt pavement; Asphalt concrete; Service life; Environmental science; Materials science; Engineering; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002811505,0.0004693728,0.0002012136,0.0008673469,0.0002855647,0.0004742253,0.0002715295,0.0003111858,0.0006687718],"category_scores_gemma":[0.0004930045,0.0001243727,0.0003275581,0.0003697486,0.0002890572,0.0003185992,0.0003331304,0.0001240369,0.0001152449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003807652,"about_ca_system_score_gemma":0.0003352073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006508428,"about_ca_topic_score_gemma":0.01101154,"domain_scores_codex":[0.9996241,0.00006234499,0.00003373124,0.00007386767,0.0001268994,0.00007900711],"domain_scores_gemma":[0.9997764,0.00003363939,0.00007391965,0.00002962568,0.00006308643,0.00002343741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004968469,0.0003200758,0.5497243,0.0002126246,0.000123362,0.0007157261,0.0007166803,0.1809496,0.1749749,0.001120977,0.0003338266,0.09031105],"study_design_scores_gemma":[0.000009466009,0.0004992639,0.7888188,0.00003253182,0.000122111,0.000272349,0.001481576,0.1537225,0.05271924,0.0005485418,0.001719433,0.00005412735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963811,0.00004317904,0.002936922,0.00000530752,0.000002045827,0.000008344599,0.00005618418,0.00001501664,0.0005520148],"genre_scores_gemma":[0.9986761,0.00002621979,0.001043083,0.000001320899,6.354985e-7,0.000004450968,0.00005517748,0.000001803197,0.000191205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006508428,"threshold_uncertainty_score":0.01294112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311933148783799,"score_gpt":0.2726484515727323,"score_spread":0.2395291200848943,"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."}}