{"id":"W4415848562","doi":"10.1680/jstbu.25.00084","title":"Mechanical response of bridge deck pavement structural layer under rubber tyre load","year":2025,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Structures and Buildings","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Span (engineering); Natural rubber; Bridge (graph theory); Vertical displacement; Displacement (psychology); Stress (linguistics); Deck","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":[0.0002331418,0.0004413133,0.0003460391,0.000378179,0.0002529011,0.0003517614,0.0003939467,0.0006302915,0.002101704],"category_scores_gemma":[0.0004255946,0.0003362638,0.0004176045,0.000188713,0.0003895849,0.0004550059,0.0003831672,0.000273894,0.0003601075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180736,"about_ca_system_score_gemma":0.0002164243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002802185,"about_ca_topic_score_gemma":0.002955064,"domain_scores_codex":[0.9998133,0.0000169996,0.000008318631,0.00004312212,0.00006374015,0.00005458945],"domain_scores_gemma":[0.9998426,0.00003387968,0.00002173496,0.00002569108,0.00004914012,0.00002701335],"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":[0.0008161314,0.0002178735,0.02509883,0.0001369021,0.00007549143,0.0008077416,0.000531124,0.375176,0.5798218,0.0004742275,0.0003651152,0.01647878],"study_design_scores_gemma":[0.00002629017,0.0007603602,0.06368209,0.00001852587,0.00005689192,0.0001392175,0.0007769822,0.8335342,0.0999936,0.0002581121,0.0007015374,0.00005207345],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972469,0.00002367636,0.002125081,0.000008630512,0.000005592764,0.000003459685,0.00004659323,0.00003296442,0.0005070975],"genre_scores_gemma":[0.9992486,0.00001838717,0.0003013262,0.00000309402,6.445408e-7,0.000002846045,0.00004112696,0.000003940095,0.0003801082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002802185,"threshold_uncertainty_score":0.007030845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175386088574515,"score_gpt":0.2475950929100202,"score_spread":0.2358412320242751,"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."}}