{"id":"W7117309917","doi":"10.1021/acsomega.5c08617","title":"Structural and Electromechanical Insights into Thermoplastic Polyurethane/3D Hybrid Carbon Nanocomposites for Strain Sensor Applications","year":2025,"lang":"en","type":"article","venue":"ACS Omega","topic":"Carbon Nanotubes in Composites","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"Defence Research and Development Organisation; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Thermoplastic polyurethane; Nanocomposite; Carbon nanotube; Ultimate tensile strength; Gauge factor; Casting; Graphene; Thermoplastic elastomer; Scanning electron microscope; Elastomer","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":[0.00004954151,0.0002095672,0.00005189973,0.0001322281,0.00007290591,0.0001451352,0.00009642949,0.000215022,0.0005182882],"category_scores_gemma":[0.0000660696,0.00009491997,0.0000928809,0.00007692866,0.0001123044,0.0001772832,0.00006979525,0.0002146995,0.0001059322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000938169,"about_ca_system_score_gemma":0.00008360048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003836009,"about_ca_topic_score_gemma":0.001256233,"domain_scores_codex":[0.9999734,0.000003598093,0.000001338368,0.000005600486,0.00001179543,0.000004225816],"domain_scores_gemma":[0.9999703,0.00001079813,0.00000679303,0.000002630337,0.000005118628,0.000004333365],"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":[0.00000691088,0.00000494778,0.00007508471,0.00001706469,0.000001072828,0.00002312012,0.000007154395,0.0002854901,0.9982967,0.0001079557,0.00000763657,0.001166918],"study_design_scores_gemma":[0.000001684541,0.00005241199,0.002363085,0.000003112807,0.000005789681,0.0001218327,0.00002806562,0.01065365,0.9855558,0.0001356356,0.001073672,0.000005414175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852185,0.001073041,0.01133709,0.00006711201,0.000009499609,0.000009486428,0.0001146528,0.00009782395,0.002072968],"genre_scores_gemma":[0.9900326,0.0004866082,0.008802265,0.00001893173,0.000003678925,0.000008148231,0.00007631569,0.00001243218,0.0005591016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005182882,"threshold_uncertainty_score":0.00173384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006483514099921996,"score_gpt":0.2469439739292122,"score_spread":0.2404604598292903,"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."}}