{"id":"W4380079145","doi":"10.3390/polym15122631","title":"Preparation and Performance Improvement Mechanism Investigation of High-Performance Cementitious Grout Material for Semi-Flexible Pavement","year":2023,"lang":"en","type":"article","venue":"Polymers","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Queen's University; China Scholarship Council; Key Research and Development Program of Heilongjiang","keywords":"Materials science; Cementitious; Asphalt; Cement; Cationic polymerization; Cracking; Composite material; Polymer chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003855746,0.0001709544,0.0001639771,0.0001863329,0.0001134694,0.00002932453,0.00008258811,0.00006317265,0.00008334948],"category_scores_gemma":[0.00000386888,0.0001858282,0.00002368303,0.0002189036,0.00003512856,0.0005397011,0.00003726793,0.00004126201,0.00001862178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040021,"about_ca_system_score_gemma":0.00002478768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002073242,"about_ca_topic_score_gemma":0.000003845378,"domain_scores_codex":[0.9988032,0.00001060827,0.0004032243,0.0002002393,0.0002861955,0.0002965358],"domain_scores_gemma":[0.9995997,0.00001599263,0.000113681,0.0001688159,0.00004795158,0.00005383466],"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":[0.0001220231,0.00001906986,0.002080022,0.001687958,0.0001246972,1.725186e-7,0.001572647,0.02344679,0.9515088,0.00114206,0.0007709994,0.01752479],"study_design_scores_gemma":[0.0006512994,0.0004532266,0.002770201,0.00004971203,0.0000355578,3.391e-7,0.00008083455,0.2390641,0.7563795,0.0003110269,0.00004968429,0.0001544401],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952268,0.00002879849,0.002496708,0.00004033394,0.0008336692,0.0008847382,0.00004924736,0.0002885581,0.0001511329],"genre_scores_gemma":[0.9979143,0.0002990601,0.0004302999,0.00004052114,0.0001177948,0.0004676905,0.0004481032,0.0000348064,0.0002474663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2156173,"threshold_uncertainty_score":0.7577856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519864349222823,"score_gpt":0.2423483001275965,"score_spread":0.2271496566353683,"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."}}