{"id":"W4289177580","doi":"10.3390/infrastructures7080100","title":"Traffic and Climate Impacts on Rutting and Thermal Cracking in Flexible and Composite Pavements","year":2022,"lang":"en","type":"article","venue":"Infrastructures","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; George Brown College","funders":"","keywords":"Rut; Cracking; Geotechnical engineering; Seal (emblem); Fatigue cracking; Composite number; Materials science; Environmental science; Composite material; Asphalt; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002137931,0.000121869,0.0001092624,0.0001307257,0.0001703298,0.00005568572,0.0000431157,0.00002478263,0.00005979852],"category_scores_gemma":[0.000005616851,0.0001229187,0.000007462573,0.00008415918,0.00002295329,0.0001671393,0.00008271702,0.0001762908,5.562536e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005550377,"about_ca_system_score_gemma":0.000004903049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006310897,"about_ca_topic_score_gemma":0.000007530692,"domain_scores_codex":[0.9992882,0.00002902013,0.0001627963,0.0001378257,0.000162147,0.0002200301],"domain_scores_gemma":[0.9998166,0.00003279512,0.00003580893,0.00006906095,0.00000519985,0.00004053283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00003922206,0.000009266335,0.2240591,0.0001552748,0.00002396064,0.000006206626,0.003191974,0.6740208,0.04534506,0.0000726555,0.00004754394,0.05302887],"study_design_scores_gemma":[0.0007176538,0.00008511519,0.8141605,0.00004045745,0.000008134167,0.000009655261,0.0002564506,0.1813844,0.003037252,0.00009385705,0.00006356568,0.0001430322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998918,0.0003999363,0.00001112786,0.00001932784,0.0001084408,0.0001604658,0.00001181182,0.00007219376,0.0002987014],"genre_scores_gemma":[0.9994404,0.00007024637,0.0003090655,0.0001011327,0.00003109591,0.00001468662,0.00001309608,0.00001840901,0.000001851202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5901014,"threshold_uncertainty_score":0.5012481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008187723547947612,"score_gpt":0.2394789975192904,"score_spread":0.2312912739713428,"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."}}