{"id":"W2117073139","doi":"10.1061/9780784413623.101","title":"Rheological Properties of Short-Term Aged Foamed Asphalt Modified with Nano Hydrated Lime","year":2014,"lang":"en","type":"article","venue":"","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ryerson University; Clemson University","keywords":"Dynamic shear rheometer; Rheology; Materials science; Asphalt; Composite material; Lime; Rheometer; Dispersion (optics); Nanometre; Shear modulus; Nano-; Dynamic modulus; Dynamic mechanical analysis; Polymer; Metallurgy; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002957727,0.0001728188,0.0002316522,0.0000715252,0.00004296807,0.00001619928,0.000141337,0.00008900645,0.0001703686],"category_scores_gemma":[0.00002338311,0.0001146359,0.00002994833,0.0001563863,0.00007206196,0.0002240394,0.00002450414,0.0001081069,0.0000344396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003703655,"about_ca_system_score_gemma":0.00001595033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005720591,"about_ca_topic_score_gemma":0.00001914485,"domain_scores_codex":[0.9989555,0.00004488467,0.0003054336,0.0001618997,0.0002850179,0.0002472128],"domain_scores_gemma":[0.9995823,0.00002077472,0.00003545898,0.0002332788,0.00007126699,0.00005691346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001274674,0.00008420465,0.008340691,0.0002231238,0.0001134219,0.000001356894,0.0004481637,0.1008496,0.8841823,0.0006254394,0.0001765846,0.004827647],"study_design_scores_gemma":[0.0005960319,0.0002703028,0.01324322,0.00006483094,0.00002887972,0.00000207728,0.00003227641,0.5082721,0.4772375,0.00002257601,0.00002526839,0.0002049236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718791,0.00005743929,0.01773808,0.00002187685,0.00008582074,0.0003353435,6.361205e-7,0.0003674316,0.009514265],"genre_scores_gemma":[0.9984721,0.00001381007,0.0008889846,0.00003178025,0.00003957539,0.00005986675,0.00001414785,0.00002595528,0.000453756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4074225,"threshold_uncertainty_score":0.4674717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103018371828777,"score_gpt":0.2224164926867419,"score_spread":0.1913863089684541,"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."}}