{"id":"W4404236466","doi":"10.1038/s41467-024-53957-0","title":"Self-healing electronic skin with high fracture strength and toughness","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"KAIST Wearable Platform Material Technology Center; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Fracture toughness; Self-healing; Materials science; Fracture (geology); Composite material; Medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006373244,0.0001263545,0.0001135025,0.00005736612,0.0001241973,0.00008977213,0.0002441233,0.0001612773,0.000008783286],"category_scores_gemma":[0.00001432719,0.000104827,0.00001547891,0.0001965348,0.00003135158,0.0001413632,0.00004550577,0.0007475178,0.000004742707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005594489,"about_ca_system_score_gemma":0.00002278529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001404857,"about_ca_topic_score_gemma":0.0001928029,"domain_scores_codex":[0.9994829,0.00002868167,0.0001074237,0.0001243677,0.0000690088,0.0001876128],"domain_scores_gemma":[0.9991689,0.0001784395,0.00001263787,0.0005716881,0.00002753222,0.00004076981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000484246,0.0002396643,0.0004932498,0.001711825,0.001282733,0.00003893649,0.005080791,0.2037155,0.01962817,0.7350773,0.007237947,0.02544546],"study_design_scores_gemma":[0.0003041648,0.00004829244,0.001603483,0.0002423853,0.0001170245,0.00007053288,0.0001313297,0.03374108,0.009778379,0.00278237,0.9506474,0.0005335227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.798835,0.1651566,0.009689316,0.0043404,0.001108576,0.000562244,0.0001091035,0.00748305,0.01271568],"genre_scores_gemma":[0.9805226,0.003104213,0.01602216,0.00007438157,0.00008597359,0.00002035281,0.00007762016,0.00004142516,0.00005121238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9434095,"threshold_uncertainty_score":0.4274721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005656403411800288,"score_gpt":0.2414532033193201,"score_spread":0.2357967999075198,"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."}}