{"id":"W4400456357","doi":"10.3390/ma17143384","title":"An Optimized Approach to Multistage Permanent Deformation Testing of Granular Materials","year":2024,"lang":"en","type":"article","venue":"Materials","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Shakedown; Compaction; Hardening (computing); Deformation (meteorology); Materials science; Granular material; Characterization (materials science); Structural engineering; Computer science; Reliability engineering; Composite material; Engineering; Finite element method","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":[0.0004008886,0.0005061643,0.000435751,0.0007801864,0.0002077537,0.0005182089,0.000735637,0.0004983052,0.001250501],"category_scores_gemma":[0.0006819259,0.000287102,0.0002773019,0.0005995119,0.0003863102,0.0005335125,0.0005653912,0.000482229,0.0003345799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816741,"about_ca_system_score_gemma":0.0004312474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005506426,"about_ca_topic_score_gemma":0.001863102,"domain_scores_codex":[0.9993344,0.00008084309,0.00003617326,0.0001105865,0.0003933953,0.00004453216],"domain_scores_gemma":[0.9996648,0.00008180974,0.00005573823,0.0001061692,0.00007657286,0.00001484032],"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":[0.0001819308,0.000179434,0.001617693,0.0001860568,0.00003004778,0.0001011675,0.00005421909,0.05578454,0.856975,0.002376257,0.0002204945,0.08229319],"study_design_scores_gemma":[0.00002692846,0.00108489,0.008520481,0.00001738364,0.00003723776,0.000289761,0.00005299215,0.380747,0.60243,0.00300857,0.003708825,0.00007583706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1286179,0.0001865511,0.8675807,0.00003887987,0.00002322912,0.0002923521,0.0003424338,0.0006312706,0.002286689],"genre_scores_gemma":[0.6501021,0.0001950184,0.3474824,0.00003314802,0.00001140926,0.0003276645,0.0003018334,0.00007357689,0.001472755],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001250501,"threshold_uncertainty_score":0.004183352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763187367673551,"score_gpt":0.2656338566760177,"score_spread":0.2380019829992822,"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."}}