{"id":"W1943710700","doi":"10.4236/ojce.2015.53029","title":"Choice of an Advanced Rheological Model for Modeling the Viscoelastic Behavior of Hot Mixtures Asphalt (HMA) from S&amp;amp;eacute;n&amp;amp;eacute;gal (West Africa)","year":2015,"lang":"en","type":"article","venue":"Open Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Time–temperature superposition; Asphalt; Viscoelasticity; Modulus; Rheology; Dynamic modulus; Superposition principle; Materials science; Geotechnical engineering; Structural engineering; Mathematics; Engineering; Composite material; Mathematical analysis; Dynamic mechanical analysis; Polymer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001488884,0.0004265666,0.0008183464,0.0002314461,0.00008477045,0.00009927119,0.001183467,0.0001898287,0.0001328189],"category_scores_gemma":[0.0005390955,0.0003465526,0.0002140049,0.0002915429,0.00005301977,0.001479893,0.0001703275,0.0005603337,0.000009954043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001898396,"about_ca_system_score_gemma":0.0001562288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003117301,"about_ca_topic_score_gemma":0.0003488802,"domain_scores_codex":[0.9969923,0.00006192203,0.001313142,0.0002731996,0.0008478186,0.0005115875],"domain_scores_gemma":[0.9977682,0.0003035345,0.0004959726,0.0005410045,0.0005924326,0.0002988065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001575868,0.0001185946,0.0001402552,0.0000749715,0.000144111,0.000001362515,0.001168874,0.9419993,0.05496338,0.00004389115,0.0003322424,0.0008554319],"study_design_scores_gemma":[0.001989029,0.0001726233,0.0003727121,0.0002913418,0.0003330526,0.00002244907,0.00009389893,0.9927001,0.002438257,0.0002004621,0.001000981,0.0003850822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5043195,0.0006827406,0.4939477,0.00001902674,0.0004181116,0.00042062,0.00004938562,0.00003404168,0.0001088344],"genre_scores_gemma":[0.9077225,0.00007973551,0.09156548,0.00001217443,0.0002891613,0.00008750331,0.00006625307,0.00009250086,0.0000846651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.403403,"threshold_uncertainty_score":0.9998987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1111092306371705,"score_gpt":0.3331964512571315,"score_spread":0.222087220619961,"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."}}