{"id":"W2116954252","doi":"10.1139/cjce-2014-0558","title":"Comparisons of analytical and approximate interconversion methods for thermal stress computation","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Inha University; Minnesota Department of Transportation","keywords":"Cracking; Asphalt; Computation; Stress (linguistics); Thermal; Creep; Materials science; Modulus; Asphalt concrete; Relaxation (psychology); Structural engineering; Forensic engineering; Mathematics; Engineering; Composite material; Thermodynamics; Algorithm; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001777313,0.0007072368,0.0005830172,0.001517455,0.0003880251,0.0009879044,0.001279621,0.0006785535,0.002420065],"category_scores_gemma":[0.008141704,0.0003057655,0.0005801257,0.001422509,0.0005086157,0.001233913,0.0008258944,0.0008428431,0.0006611062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007613658,"about_ca_system_score_gemma":0.0009737306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004621994,"about_ca_topic_score_gemma":0.003911801,"domain_scores_codex":[0.9986362,0.0004154714,0.00008871961,0.0001287994,0.000658263,0.00007260901],"domain_scores_gemma":[0.9960517,0.002255029,0.0002679733,0.0005176352,0.0008536886,0.00005388546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004651422,0.0003545139,0.004322123,0.0003903184,0.00009271945,0.00008873174,0.0005114611,0.3645224,0.01694268,0.03286224,0.001062629,0.578385],"study_design_scores_gemma":[0.00001961973,0.00008126819,0.001015332,0.00002162683,0.00001347595,0.00005543923,0.00008517849,0.9877874,0.006461689,0.003131204,0.001303458,0.0000242546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06420498,0.000811105,0.92897,0.00006515395,0.00004688845,0.00008797121,0.00006344595,0.0008618175,0.004888737],"genre_scores_gemma":[0.376013,0.0009470516,0.6195456,0.00004932142,0.00003208788,0.0002267159,0.0001704107,0.000346806,0.002669101],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004621994,"threshold_uncertainty_score":0.009399414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04103879561149807,"score_gpt":0.3019461379505083,"score_spread":0.2609073423390102,"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."}}