{"id":"W3215793821","doi":"10.1038/s41427-021-00342-8","title":"Towards unraveling the moisture-induced shape memory effect of wood: the role of interface mechanics revealed by upscaling atomistic to composite modeling","year":2021,"lang":"en","type":"article","venue":"NPG Asia Materials","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Office of Naval Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Materials science; Micromechanics; Composite material; Moisture; Shape-memory alloy; Interface (matter); Composite number; Mechanics; Fiber; Deformation (meteorology); Wetting; Physics","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":[0.0003197454,0.000408619,0.0003497146,0.0003608041,0.0002342428,0.0004823745,0.000840776,0.0006488606,0.001289947],"category_scores_gemma":[0.0004976153,0.0002260946,0.0005715033,0.000279035,0.0004434033,0.0007050937,0.0004707622,0.0006646556,0.0001413983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003767023,"about_ca_system_score_gemma":0.0004628356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003547934,"about_ca_topic_score_gemma":0.002027932,"domain_scores_codex":[0.9999459,0.00001381192,0.000002355986,0.000008894146,0.00001897175,0.00001010128],"domain_scores_gemma":[0.999791,0.00008019009,0.00003290267,0.00005409461,0.00002380648,0.00001807581],"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":[0.0000441266,0.0001166016,0.001610255,0.000139201,0.00004285037,0.0001558658,0.00007647579,0.913196,0.05628363,0.02010766,0.0002050977,0.008022115],"study_design_scores_gemma":[0.000001562322,0.000006421687,0.000119733,0.000002020323,0.000001828858,0.000003915537,0.000003283018,0.9978622,0.0009894603,0.0008589684,0.000148552,0.000002169074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5311396,0.0008265498,0.4568935,0.0003688506,0.0001062758,0.0001058634,0.0002549318,0.0006173304,0.009687041],"genre_scores_gemma":[0.9542894,0.0004163948,0.04399392,0.00005578011,0.00001772282,0.00007297312,0.00009634391,0.00008858848,0.0009688051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003547934,"threshold_uncertainty_score":0.007054567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027745548924715,"score_gpt":0.2540257186130143,"score_spread":0.2437482631237671,"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."}}