{"id":"W4211138265","doi":"10.1177/00952443211060407","title":"Study Mullins effect of polyurethane reinforcement with halloysite nanotube by molecular dynamics simulation","year":2022,"lang":"en","type":"article","venue":"Journal of Elastomers & Plastics","topic":"Clay minerals and soil interactions","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Halloysite; Materials science; Composite material; Polyurethane; Strain rate; Molecular dynamics; Nanotube; Composite number; Volume fraction; Computational chemistry; Chemistry; Carbon nanotube","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0005493269,0.0001625926,0.0003662446,0.0001905154,0.0001476296,0.00003385999,0.0002089206,0.00003076631,0.0002031529],"category_scores_gemma":[0.0001230132,0.0001266968,0.0001028802,0.0002427262,0.00004766025,0.0001495519,0.00007836327,0.0002873491,0.000004461835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002957042,"about_ca_system_score_gemma":0.00009977634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004228072,"about_ca_topic_score_gemma":0.00002936482,"domain_scores_codex":[0.9980727,0.0001810732,0.0005997366,0.0001336807,0.0008187021,0.0001941244],"domain_scores_gemma":[0.9983617,0.0004395203,0.0007399957,0.0001550602,0.0002093925,0.00009432464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008803318,0.0002345832,0.001081911,0.00001266245,0.0000849353,0.00007880238,0.0006246168,0.7780902,0.2187248,0.00001511684,0.00009336295,0.00007867311],"study_design_scores_gemma":[0.01696842,0.08756673,0.001350814,0.0003254339,0.002461205,0.001204438,0.01011576,0.6227114,0.2524033,0.00002834189,0.003501998,0.001362156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986187,0.00004394281,0.01272312,0.0000344335,0.0006423093,0.0001916944,0.0000615445,0.000008190173,0.0001078054],"genre_scores_gemma":[0.9994144,0.000003443156,0.0002749881,0.00002794341,0.00003706058,0.00000576822,0.00001292148,0.00002073694,0.0002027631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1553788,"threshold_uncertainty_score":0.5166544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005439953826496496,"score_gpt":0.2571979418588049,"score_spread":0.2517579880323084,"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."}}