{"id":"W62372795","doi":"","title":"Optimizing Crumb Rubber Modifiers (CRM) and Reclaimed Asphalt Pavements (RAP) in Typical Ontario Hot Mix Asphalt","year":2013,"lang":"en","type":"article","venue":"","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crumb rubber; Gradation; Scrap; Asphalt; Asphalt pavement; Aggregate (composite); Waste management; Compaction; Coring; Natural rubber; Cracking; Environmental science; Reuse; Rut; Engineering; Materials science; Geotechnical engineering; Composite material; Metallurgy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003465579,0.0003038551,0.00019576,0.0004778231,0.0004197479,0.0004190469,0.0004094793,0.0002545264,0.0009685664],"category_scores_gemma":[0.0003345068,0.0001621231,0.0002167667,0.0004449066,0.0002671497,0.0002612157,0.0002505489,0.0001929547,0.0001960181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002450602,"about_ca_system_score_gemma":0.001101023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.150249,"about_ca_topic_score_gemma":0.5489352,"domain_scores_codex":[0.9993865,0.00006190081,0.000030864,0.00007269601,0.0003627984,0.0000852645],"domain_scores_gemma":[0.9997619,0.0000287799,0.00007839956,0.00001228607,0.0000898002,0.00002886242],"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":[0.000502628,0.0001928024,0.0109706,0.0002180416,0.00002391485,0.0001129468,0.0002150443,0.006998352,0.959616,0.00008949961,0.0001264916,0.02093372],"study_design_scores_gemma":[0.00001642515,0.002298028,0.08107605,0.00001146329,0.00008236535,0.00008911367,0.0003730518,0.004561612,0.9081922,0.00001805651,0.003257553,0.00002409799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981275,0.0001237763,0.0004517537,0.000005733345,8.221255e-7,0.00002375529,0.00007623654,0.00001626824,0.001174118],"genre_scores_gemma":[0.9946784,0.0002145739,0.002865074,0.000006339921,7.320656e-7,0.00001614543,0.0001021842,0.00001169317,0.002104942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8497509,"threshold_uncertainty_score":0.298749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337293530492782,"score_gpt":0.2346040047515508,"score_spread":0.211231069446623,"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."}}