{"id":"W3007670863","doi":"10.1038/s41598-020-59725-6","title":"Recovery of electro-mechanical properties inside self-healing composites through microencapsulation of carbon nanotubes","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Polymer composites and self-healing","field":"Materials Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"MPB Technologies & Communications (Canada); Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Hamad Bin Khalifa University; Khalifa University of Science, Technology and Research; Qatar Foundation","keywords":"Carbon nanotube; Self-healing; Materials science; Composite material; Carbon fibers; Nanotechnology; Composite number; Medicine","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":[0.000785513,0.000180516,0.0004438605,0.00008519361,0.0001950178,0.0001277884,0.0002228557,0.00008426332,0.00002812923],"category_scores_gemma":[0.0001314234,0.0001555479,0.000129683,0.0004854197,0.0001653266,0.0003017531,0.0001433388,0.0001047332,0.000003841951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004588588,"about_ca_system_score_gemma":0.0002278587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003396521,"about_ca_topic_score_gemma":0.000008564707,"domain_scores_codex":[0.9971421,0.000118623,0.001086693,0.000683875,0.000600124,0.0003686035],"domain_scores_gemma":[0.9984422,0.00005014304,0.0006667126,0.0004907198,0.0002472255,0.0001030334],"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":[0.00004967925,0.00007736268,0.0005943379,0.0001860393,0.00001611673,0.00001953099,0.001555527,0.0009713632,0.996251,0.00007908601,0.0001223314,0.00007759202],"study_design_scores_gemma":[0.0001083656,0.0001484053,0.00007341007,0.0001187856,0.00003984775,0.00005367684,0.0000883825,0.005227282,0.9925393,0.001002993,0.0004395044,0.0001600321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952304,0.001450342,0.00047171,0.0002280922,0.001903743,0.0002899414,0.000004560836,0.0001175739,0.0003036298],"genre_scores_gemma":[0.9909445,0.00001942223,0.008814165,0.00007204802,0.00008182375,0.000006264358,0.00001654424,0.00001865771,0.0000265629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008342455,"threshold_uncertainty_score":0.634306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228670062002022,"score_gpt":0.2287301837240708,"score_spread":0.2064434831040506,"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."}}