{"id":"W3008954202","doi":"10.1002/cjce.23731","title":"Thermorheological properties of asphalt binders","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rheology; Viscoelasticity; Time–temperature superposition; Materials science; Dynamic modulus; Asphalt; Rheometry; Dynamic mechanical analysis; Asphaltene; Viscosity; Shear modulus; Composite material; Modulus; Thermodynamics; Stress relaxation; Differential scanning calorimetry; Glass transition; Relaxation (psychology); Polymer; Chemistry; Creep; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001816597,0.0000948142,0.0001601159,0.00005071389,0.00001911876,0.00001334626,0.0002486506,0.00005474778,0.00006742696],"category_scores_gemma":[0.0001372125,0.00006531509,0.00006101823,0.00014732,0.00005404055,0.0001024074,0.000007711439,0.0002797486,0.000005139263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008823583,"about_ca_system_score_gemma":0.0001223512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003151137,"about_ca_topic_score_gemma":0.000008531408,"domain_scores_codex":[0.999294,0.000007712741,0.0002971357,0.00004209513,0.0001726565,0.0001863941],"domain_scores_gemma":[0.9995539,0.0000195921,0.00005316157,0.0000686946,0.00006294549,0.000241716],"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":[0.000009271622,0.000002051499,0.0002215693,0.0001010732,0.0000685848,0.000006736658,0.0009564477,0.3911502,0.6062304,0.0001441987,0.00028777,0.0008216996],"study_design_scores_gemma":[0.0002692624,0.0000438395,0.0002083641,0.00008566014,0.00002995353,0.00002192719,0.00003898013,0.3234283,0.6753879,0.00001955917,0.0003461665,0.0001201524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969375,0.000913161,0.001094803,0.0006498944,0.0001463563,0.00006511706,0.000001214301,0.00002313054,0.0001688865],"genre_scores_gemma":[0.9995193,0.000004938535,0.0002050023,0.00008756829,0.0001622972,0.000001545923,4.585152e-7,0.00001684582,0.000001967942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0691575,"threshold_uncertainty_score":0.2663472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071110554293615,"score_gpt":0.1859578020758912,"score_spread":0.1552466965329551,"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."}}