{"id":"W4405693855","doi":"10.1007/978-3-031-67252-1_71","title":"Laboratory Study: Assessing Bitumen Blending Charts for Asphalt Mixes with Recycled Asphalt Pavement","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Micromolding Solutions (Canada); École de Technologie Supérieure","funders":"","keywords":"Asphalt; Asphalt pavement; Environmental science; Waste management; Engineering; Materials science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007884976,0.0007026159,0.000475872,0.0007537758,0.0009224156,0.000670147,0.001206678,0.0007621962,0.003750999],"category_scores_gemma":[0.001163369,0.0002812908,0.0005673749,0.000653325,0.0003373866,0.0008608067,0.0004972026,0.0005554008,0.0007267825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006658267,"about_ca_system_score_gemma":0.0005887912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003246973,"about_ca_topic_score_gemma":0.00526624,"domain_scores_codex":[0.9992672,0.0001605027,0.00004828113,0.0001114335,0.0003689024,0.00004371173],"domain_scores_gemma":[0.9989905,0.000413089,0.00008540214,0.0001024586,0.0003187605,0.00008973288],"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":[0.001809625,0.005499436,0.005868921,0.0002886446,0.00005419738,0.0002458513,0.0005107867,0.006181239,0.910269,0.0003863637,0.001104188,0.06778186],"study_design_scores_gemma":[0.0001012837,0.01177595,0.01415768,0.00001739581,0.00007636693,0.0002073506,0.0004310658,0.008708864,0.9620325,0.0001677397,0.002278339,0.00004551658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978236,0.0006226812,0.01526911,0.00004579166,0.00005465397,0.000286445,0.0005067367,0.0002993196,0.004679305],"genre_scores_gemma":[0.9665186,0.0005030677,0.02153789,0.00004835918,0.00002021135,0.0001593176,0.0006014275,0.00009252412,0.01051857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003750999,"threshold_uncertainty_score":0.01254839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748498942903587,"score_gpt":0.2750616131453961,"score_spread":0.2475766237163602,"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."}}