{"id":"W3028546599","doi":"10.1002/adfm.202000663","title":"Tacky Elastomers to Enable Tear‐Resistant and Autonomous Self‐Healing Semiconductor Composites","year":2020,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Division of Graduate Education; Ministry of Science and Technology, Taiwan; National Natural Science Foundation of China; National Science Foundation; Royal Society; Engineering and Physical Sciences Research Council; Ministry of Science and Technology; Office of Science; Ministry of Education; U.S. Department of Energy","keywords":"Materials science; Composite material; Elastomer; Natural rubber; Self-healing; Composite number; Polymer; Tear resistance; Elastic modulus; Electronics; Deformation (meteorology); Fracture (geology); Fracture mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006796201,0.0002407519,0.00008921822,0.0001290343,0.00007660202,0.0001801788,0.0001370333,0.0002066261,0.0009101055],"category_scores_gemma":[0.0001006717,0.0001319788,0.000113549,0.0000691426,0.00009661605,0.0001813814,0.000139193,0.0002929597,0.000271121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007353655,"about_ca_system_score_gemma":0.00006611655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000106107,"about_ca_topic_score_gemma":0.0003890326,"domain_scores_codex":[0.9999479,0.000005044784,0.000003793396,0.00001071903,0.00002033647,0.00001208771],"domain_scores_gemma":[0.9999158,0.00001643298,0.00003168712,0.00001013218,0.00001483565,0.00001105913],"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":[0.000005517342,0.00000446897,0.0000276491,0.00001536431,0.000001700618,0.00002218462,0.00000608658,0.00005023666,0.9990622,0.00005450804,0.00002330649,0.0007268522],"study_design_scores_gemma":[0.000002489934,0.00005488224,0.0003677351,0.000002444351,0.000003389098,0.00006098891,0.000007397143,0.0006559083,0.9977055,0.00001431984,0.001122465,0.00000251904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869473,0.0009371326,0.009393458,0.00006294692,0.00006883893,0.00002627264,0.0001106588,0.0002101168,0.002243322],"genre_scores_gemma":[0.989117,0.0004190827,0.00738851,0.00003884994,0.00000960489,0.00002047197,0.00007825498,0.00004118575,0.00288708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009101055,"threshold_uncertainty_score":0.003044605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319239556264755,"score_gpt":0.200716826224335,"score_spread":0.1875244306616875,"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."}}