{"id":"W2804652057","doi":"10.1021/acs.macromol.8b00736","title":"Atomistic Modeling of the Formation of a Thermoset/Thermoplastic Interphase during Co-Curing","year":2018,"lang":"en","type":"article","venue":"Macromolecules","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Australian Research Council; Universität Bremen; Bundesministerium für Bildung und Forschung","keywords":"Thermosetting polymer; Interphase; Epoxy; Materials science; Thermoplastic; Curing (chemistry); Composite material; Polymer; Ultimate tensile strength","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":[0.0002495252,0.0004730332,0.0006501014,0.0004130555,0.0008774524,0.0006688824,0.00103756,0.001570501,0.002975463],"category_scores_gemma":[0.0007684156,0.0004828337,0.0005188173,0.0004126852,0.0009037266,0.0005981891,0.0005002846,0.0007838342,0.0002125953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001432301,"about_ca_system_score_gemma":0.001774429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190368,"about_ca_topic_score_gemma":0.01660751,"domain_scores_codex":[0.9999008,0.00001925798,0.00000325798,0.00001267783,0.00002563435,0.00003841565],"domain_scores_gemma":[0.9996362,0.0001863159,0.00003775605,0.00003017297,0.00004470491,0.00006480372],"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":[0.00008467283,0.00007227996,0.001416325,0.00003315883,0.00002713118,0.0001373474,0.00005777645,0.9915094,0.002994693,0.002541152,0.0001795866,0.0009464526],"study_design_scores_gemma":[0.00002050778,0.00002360687,0.0003371311,0.000003489134,0.000006097932,0.000008547186,0.00002219374,0.9986105,0.0004294099,0.0003829593,0.0001508371,0.000004704672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736222,0.0001295758,0.01533992,0.0002566268,0.0000320605,0.00005768783,0.0004936192,0.0001231369,0.009945298],"genre_scores_gemma":[0.9912322,0.0001125872,0.006593445,0.00005550591,0.000007435325,0.0001086645,0.0003513588,0.00005066147,0.001488006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02190368,"threshold_uncertainty_score":0.0435524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00786822198825851,"score_gpt":0.2647598542463003,"score_spread":0.2568916322580418,"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."}}