{"id":"W4283579072","doi":"10.5592/co/cetra.2022.1428","title":"Flexible pavement with SMA as an anti-fatigue layer","year":2022,"lang":"en","type":"article","venue":"Road and rail infrastructure","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Asphalt; Fatigue cracking; Rut; Stiffness; Cracking; Layer (electronics); Pavement engineering; Asphalt pavement; Structural engineering; Geotechnical engineering; Materials science; Asphalt concrete; Composite material; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001728418,0.0003813684,0.0001880938,0.0009760793,0.0001794635,0.0004241696,0.0003464658,0.0002117856,0.002308198],"category_scores_gemma":[0.0001833617,0.0001712461,0.0002931964,0.0006463881,0.0001673996,0.0003645661,0.0002850007,0.0002209314,0.0004009998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964591,"about_ca_system_score_gemma":0.000183274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392737,"about_ca_topic_score_gemma":0.004682009,"domain_scores_codex":[0.9997914,0.00001845812,0.00001042967,0.00005191332,0.0000978323,0.00002983335],"domain_scores_gemma":[0.9998958,0.00001596892,0.0000254549,0.00001576749,0.00003855044,0.000008458061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005030421,0.0001710885,0.03130611,0.0006018729,0.00008217233,0.0004608731,0.000183683,0.06908359,0.7331142,0.003990944,0.000875919,0.1596265],"study_design_scores_gemma":[0.00003100337,0.001713489,0.2346712,0.00008991038,0.0002929862,0.00145104,0.0004253291,0.1226377,0.5831068,0.001494063,0.05401017,0.00007632188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9306231,0.001100258,0.05409341,0.00002415159,0.00004851733,0.00005881984,0.0005579524,0.0006726414,0.01282111],"genre_scores_gemma":[0.9804893,0.0002048744,0.0159965,0.000007881813,0.000003940814,0.00001586641,0.0002063844,0.00002653795,0.00304883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002308198,"threshold_uncertainty_score":0.007721663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01339675639740417,"score_gpt":0.2465251832732004,"score_spread":0.2331284268757962,"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."}}