{"id":"W4412346469","doi":"10.1109/icorr66766.2025.11062948","title":"Fabrication and Evaluation of Woven and Crocheted Strain Sensors for Soft Rehabilitation Robots","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fabrication; Robot; Soft robotics; Computer science; Materials science; Strain (injury); Composite material; Mechanical engineering; Engineering; Artificial intelligence","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":[0.0008918752,0.0004466905,0.0003315604,0.0005198828,0.000146772,0.0003753479,0.0004853066,0.0005681685,0.0006097537],"category_scores_gemma":[0.001693794,0.0002143731,0.0002637963,0.0003137941,0.0003807251,0.0004908836,0.0003172622,0.0003025249,0.0001885023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002215515,"about_ca_system_score_gemma":0.000185958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002884051,"about_ca_topic_score_gemma":0.0006375357,"domain_scores_codex":[0.9991999,0.0001073155,0.00006875546,0.0001245091,0.0004422636,0.00005732277],"domain_scores_gemma":[0.9989171,0.000188436,0.0002953442,0.0001359192,0.0003862579,0.00007689274],"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":[0.00007120328,0.00005521191,0.000292558,0.0001168595,0.000007244934,0.00004719148,0.0000612987,0.0005281543,0.9909611,0.00007643449,0.00005184107,0.007730949],"study_design_scores_gemma":[0.00001252996,0.001254261,0.003964872,0.00001368034,0.00001393878,0.00009950452,0.00007803514,0.004515137,0.9888945,0.00003127083,0.00110045,0.00002194639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730601,0.00132276,0.02394323,0.00009422949,0.0001324075,0.0001534448,0.00009842333,0.0001753187,0.001020134],"genre_scores_gemma":[0.9542701,0.0007739002,0.04278963,0.00005777043,0.00002156618,0.0001084968,0.00009649294,0.00003338786,0.001848574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008918752,"threshold_uncertainty_score":0.004716754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789927913768742,"score_gpt":0.2829435850791014,"score_spread":0.265044305941414,"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."}}