{"id":"W4392405743","doi":"10.1109/toh.2024.3371831","title":"HaptiYarn: Development of an Actuator Yarn That Can Transform Everyday Textiles Into Haptic Devices","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Haptics","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Yarn; Haptic technology; Actuator; Materials science; Textile; Elastomer; Layer (electronics); SOCKS; Wearable computer; Stiffness; Graphite; Composite material; Mechanical engineering; Computer science; Simulation; Engineering; Artificial intelligence; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001180518,0.0003034499,0.0002927073,0.000224574,0.0001468252,0.00008326185,0.0001727381,0.0001360031,0.00009602382],"category_scores_gemma":[0.000002820855,0.0002891886,0.00009485064,0.0001967949,0.00006513671,0.000330881,8.168059e-7,0.0002092609,0.00004034091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001393989,"about_ca_system_score_gemma":0.00007205328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004006684,"about_ca_topic_score_gemma":0.0008098969,"domain_scores_codex":[0.9987463,0.00002006478,0.0004101925,0.0002618903,0.0002525151,0.0003090852],"domain_scores_gemma":[0.9994234,0.0001155883,0.00002699239,0.0002474781,0.00003652939,0.0001499778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005213535,0.0001666647,0.000001833697,0.001143796,0.0004308518,0.00003262478,0.009621966,0.5013324,0.2097997,0.0002233278,0.00003108966,0.2771637],"study_design_scores_gemma":[0.0003882009,0.0001497555,0.00007958325,0.0004498583,0.0001779518,0.0000279874,0.0005159415,0.07767166,0.9074218,0.0003692716,0.01203278,0.0007152558],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4707464,0.0001337108,0.5260814,0.0000405174,0.001391665,0.0001568993,0.00005523081,0.0007900233,0.0006041534],"genre_scores_gemma":[0.9767688,0.00009628213,0.02260603,0.00002554489,0.00005788586,0.00003053368,0.00001095313,0.00009541833,0.0003085859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6976221,"threshold_uncertainty_score":0.999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127739926877504,"score_gpt":0.2451083204523682,"score_spread":0.2238309211835932,"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."}}