{"id":"W4388264058","doi":"10.36227/techrxiv.24421588.v1","title":"HaptiYarn Development of an actuator yarn that can transform everyday textiles into haptic devices","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Haptic technology; Materials science; Yarn; Actuator; Textile; Elastomer; Layer (electronics); Composite material; Graphite; SOCKS; Stiffness; Wearable computer; Mechanical engineering; Computer science; Simulation; Engineering; Embedded system; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002351636,0.0002899885,0.0001558447,0.0002872413,0.0001459942,0.0003172634,0.0003140512,0.0004552643,0.0009452524],"category_scores_gemma":[0.0002409082,0.0001938339,0.0002777247,0.0001661233,0.0002575245,0.0004133457,0.0003346415,0.0004892794,0.0003676211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899618,"about_ca_system_score_gemma":0.0001744571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002022121,"about_ca_topic_score_gemma":0.0005012677,"domain_scores_codex":[0.9998366,0.00001707246,0.000008609578,0.00003491461,0.00008000018,0.00002289145],"domain_scores_gemma":[0.999841,0.00002623468,0.00005214186,0.00002492819,0.0000324719,0.00002328728],"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":[0.00001847487,0.00001418304,0.0001032214,0.00009513301,0.000003826744,0.00008109283,0.00002907068,0.0003206975,0.9926082,0.0002850197,0.00006844218,0.006372776],"study_design_scores_gemma":[0.00001087098,0.0005419345,0.002727038,0.00002250267,0.00001239964,0.0006629145,0.00003705246,0.004533849,0.9770893,0.00007958639,0.01426677,0.00001582632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8673618,0.005191195,0.1169351,0.0002156613,0.0003319786,0.0002322537,0.0001728536,0.0006076555,0.0089514],"genre_scores_gemma":[0.8195177,0.002423901,0.1616022,0.00009897928,0.00004337599,0.0001676102,0.000235162,0.0001463157,0.01576467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009452524,"threshold_uncertainty_score":0.003162146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03900768885020881,"score_gpt":0.2586692004858963,"score_spread":0.2196615116356875,"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."}}