{"id":"W2967944243","doi":"10.1016/j.scitotenv.2019.133943","title":"Flow-induced crystallization of biochar in bio-asphalt under various aging conditions","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"ShanXi Science and Technology Department; Ministry of Transport of the People's Republic of China; National Natural Science Foundation of China","keywords":"Crystallization; Materials science; Biochar; Rheology; Nucleation; Asphalt; Composite material; Chemical engineering; Crystallization of polymers; Rheometer; Polymer; Chemistry; Pyrolysis; Organic chemistry","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":[0.0001724395,0.000284477,0.0002340789,0.000255395,0.0002247866,0.0002485721,0.0001888814,0.0002148593,0.001251543],"category_scores_gemma":[0.0002875433,0.000124095,0.0002886943,0.0002887385,0.0002433301,0.0003706856,0.0001242816,0.0003719431,0.0001737022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003915092,"about_ca_system_score_gemma":0.0003411937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003556914,"about_ca_topic_score_gemma":0.005302411,"domain_scores_codex":[0.9998485,0.00001193891,0.00001180954,0.00003951131,0.00003640112,0.00005188619],"domain_scores_gemma":[0.9999163,0.00002564448,0.00001924901,0.0000083465,0.00002071978,0.00000970847],"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":[0.0003841468,0.00003593029,0.0004854405,0.00003950784,0.000008298187,0.00003891562,0.0000400084,0.0004962697,0.9967589,0.00006801,0.00003747032,0.001607186],"study_design_scores_gemma":[0.000004067998,0.00007715026,0.002091746,0.000001438675,0.000005090499,0.00001264357,0.00002030356,0.0007740367,0.9968195,0.00001068665,0.000179677,0.000003633785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981084,0.0002918242,0.00057122,0.00001397638,0.00001734273,0.000009057729,0.0003161031,0.00002279192,0.0006491919],"genre_scores_gemma":[0.9986441,0.0001460245,0.0003660816,0.000007892389,0.000004078589,0.000005937629,0.0001615004,0.000008634324,0.0006558771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003556914,"threshold_uncertainty_score":0.007072389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147497104052109,"score_gpt":0.220730521463845,"score_spread":0.2092555504233239,"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."}}