{"id":"W2944049659","doi":"10.3390/infrastructures4020024","title":"Characterization of Recovered Bitumen from Coarse and Fine Reclaimed Asphalt Pavement Particles","year":2019,"lang":"en","type":"article","venue":"Infrastructures","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; École de Technologie Supérieure","funders":"","keywords":"Asphalt; Gradation; Asphalt pavement; Environmental scanning electron microscope; Materials science; Aggregate (composite); Cracking; Dynamic shear rheometer; Composite material; Fourier transform infrared spectroscopy; Scanning electron microscope; Particle (ecology); Rut; Geology; Chemical engineering; Engineering","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":[0.0002008783,0.0004270536,0.000335323,0.001864231,0.000251353,0.0003701473,0.0002259459,0.0003430957,0.0009530458],"category_scores_gemma":[0.0003491868,0.0001012029,0.0002670787,0.0006589448,0.0002439005,0.0003587318,0.0002623811,0.0004066609,0.0003120072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001606349,"about_ca_system_score_gemma":0.0001624841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111443,"about_ca_topic_score_gemma":0.001692933,"domain_scores_codex":[0.9997631,0.00001617898,0.00001924642,0.00004155202,0.0001205936,0.00003936314],"domain_scores_gemma":[0.9998192,0.00004070005,0.0000393044,0.00001504109,0.00006130165,0.00002443334],"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":[0.00009616641,0.00002419514,0.001915863,0.00009382108,0.00001213158,0.0001514121,0.00006410208,0.000289214,0.9925941,0.00005438763,0.00001494642,0.004689636],"study_design_scores_gemma":[0.000003719426,0.0001713684,0.01483996,0.0000137191,0.00003129723,0.0002310733,0.0002027646,0.001211999,0.9821339,0.00004672956,0.001100154,0.00001327001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938981,0.001003688,0.003715046,0.00001518953,0.00001274302,0.00003583469,0.0004361443,0.00004492834,0.0008382768],"genre_scores_gemma":[0.992939,0.0007559047,0.004298028,0.00002591898,0.000006978629,0.00004519937,0.00042432,0.00004292806,0.001461648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001864231,"threshold_uncertainty_score":0.003188252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00774171904374303,"score_gpt":0.2080692599156203,"score_spread":0.2003275408718773,"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."}}