{"id":"W2922436100","doi":"10.1051/matecconf/201927603004","title":"Determination of rutting distresses on hot mix asphalts by advanced techniques","year":2019,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Rut; Asphalt; Creep; Dynamic shear rheometer; Softening point; Asphalt pavement; Geotechnical engineering; Penetration test; Forensic engineering; Materials science; Environmental science; Engineering; Composite material","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":[0.0001574186,0.0001119714,0.0001824384,0.00008957837,0.00001480046,0.00001232525,0.0001365455,0.00005370153,0.0002347797],"category_scores_gemma":[0.00002132553,0.0001047617,0.0000244123,0.00009138985,0.00002995071,0.0002056686,0.00001451962,0.00005620547,0.00001376806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002105918,"about_ca_system_score_gemma":0.00004581536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008416612,"about_ca_topic_score_gemma":0.000005304973,"domain_scores_codex":[0.9992145,0.00001580486,0.0002940817,0.0001081826,0.0002471529,0.0001203],"domain_scores_gemma":[0.9995523,0.00005882232,0.000147107,0.0001407512,0.00008355383,0.00001747716],"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":[0.00005022208,0.00006948903,0.01828352,0.001138356,0.00002594637,3.284607e-7,0.0002076796,0.001287647,0.6035678,0.001146393,0.000270461,0.3739522],"study_design_scores_gemma":[0.0002008296,0.0001949968,0.003336363,0.0003289618,0.000008582845,1.863635e-7,0.0001606969,0.03072343,0.9638662,0.0001272893,0.0009362019,0.0001162441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767556,0.0001063185,0.000988974,0.00001367084,0.0001385105,0.000248874,0.000022402,0.0001274702,0.02159824],"genre_scores_gemma":[0.9985085,0.0001121237,0.001207536,0.000005056107,0.00001136159,0.00002462805,0.00003219667,0.00001132606,0.00008726376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.373836,"threshold_uncertainty_score":0.427206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042527188336996,"score_gpt":0.2530982825150941,"score_spread":0.2426730106317241,"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."}}