{"id":"W2910672459","doi":"10.1520/jte20180464","title":"Evaluation of Superpave Moisture Susceptibility Considering Uncertainty","year":2019,"lang":"en","type":"article","venue":"Journal of Testing and Evaluation","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Monte Carlo method; Normality; Applied mathematics; Mathematics; Moisture; Statistics; Materials science","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":[0.01306359,0.0001089164,0.00021261,0.0001357085,0.00003712931,0.00002530679,0.00006184037,0.00006408838,0.0001817763],"category_scores_gemma":[0.002127327,0.00009881243,0.00004229327,0.0001785187,0.00002446857,0.0004618576,0.0000132323,0.0001650551,0.000005722199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109415,"about_ca_system_score_gemma":0.0002208775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001247619,"about_ca_topic_score_gemma":0.00001483977,"domain_scores_codex":[0.9974653,0.0002257695,0.0005975387,0.0001020256,0.001488195,0.0001212324],"domain_scores_gemma":[0.996856,0.0002676467,0.000316286,0.0001379597,0.002379158,0.00004298928],"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":[0.00001050956,0.00001599536,0.06363365,0.0001009049,0.00004752344,1.250674e-7,0.0004720039,0.7883616,0.04966457,0.000003459131,0.00005295153,0.09763671],"study_design_scores_gemma":[0.001226332,0.0001864912,0.1146444,0.0002683263,0.0003118835,0.00001642999,0.0003619448,0.8785224,0.003210825,0.001157218,0.000006115184,0.00008759207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967322,0.0008574344,0.0002516919,0.00002761405,0.0004390196,0.0003821398,0.000001256045,0.00001899097,0.001289656],"genre_scores_gemma":[0.9977134,0.00002657986,0.002122259,0.000006963308,0.000107115,0.000004763581,0.000003967623,0.00001118717,0.000003739913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09754913,"threshold_uncertainty_score":0.4527604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06659803719183964,"score_gpt":0.308629882901122,"score_spread":0.2420318457092823,"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."}}