{"id":"W4413154067","doi":"10.1617/s11527-025-02734-6","title":"Effects of air void content and back‑calculation techniques on bituminous mixture modulus via impact resonance","year":2025,"lang":"en","type":"article","venue":"Materials and Structures","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Micromolding Solutions (Canada); École de Technologie Supérieure","funders":"Mitacs","keywords":"Solid mechanics; Asphalt; Void (composites); Materials science; Composite material; Modulus; Content (measure theory); Mathematics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005008452,0.0002078191,0.0003157094,0.00009696629,0.00004276081,0.00003672179,0.00006425121,0.0001717005,0.000009141207],"category_scores_gemma":[0.00002813961,0.0001532747,0.00003581853,0.00007010994,0.00005148525,0.00004090299,0.00002732025,0.00009393292,2.63725e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002235479,"about_ca_system_score_gemma":0.000004840435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009988618,"about_ca_topic_score_gemma":0.000002839648,"domain_scores_codex":[0.9993544,0.00002171699,0.0002084613,0.0001687866,0.00008205169,0.0001645556],"domain_scores_gemma":[0.9997166,0.0000500348,0.00003072799,0.0001386699,0.00002171428,0.00004219088],"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":[0.00006490673,0.000005182857,0.0000423707,0.0008003296,0.00004833156,0.000003431815,0.00004812733,0.00312215,0.9734783,0.002294434,0.0002587159,0.01983377],"study_design_scores_gemma":[0.0002953777,0.0001119859,0.1645285,0.0001545731,0.00002327332,0.00001069049,0.000003299409,0.0008159933,0.8259535,0.00750671,0.0004219172,0.0001742312],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925214,0.001945451,0.004639649,0.00002897189,0.0003207019,0.0002408439,0.00002690272,0.0001649895,0.0001110928],"genre_scores_gemma":[0.9986964,0.0001622377,0.000982977,0.00003688844,0.00004565182,0.00001129336,0.000007170639,0.00001611575,0.00004128777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1644861,"threshold_uncertainty_score":0.6250362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003740862690200917,"score_gpt":0.2029649787154879,"score_spread":0.199224116025287,"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."}}