{"id":"W1902170644","doi":"10.1108/sr-06-2014-656","title":"A new tactile array sensor for viscoelastic tissues with time-dependent behavior","year":2015,"lang":"en","type":"article","venue":"Sensor Review","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Tactile sensor; Displacement (psychology); Computer science; Viscoelasticity; Sensor array; Acoustics; Indentation; Mechanical engineering; Computer vision; Artificial intelligence; Engineering; Materials science; Robot; Physics","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":[0.000391852,0.0004093944,0.0004504601,0.0006015156,0.0001953602,0.0004612256,0.0007528677,0.001107111,0.001893371],"category_scores_gemma":[0.0007206887,0.0002589251,0.0003553449,0.0003956327,0.0003695361,0.001357341,0.0006144919,0.0005564139,0.0006647206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002520129,"about_ca_system_score_gemma":0.0002266722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005672683,"about_ca_topic_score_gemma":0.0001560237,"domain_scores_codex":[0.9994677,0.00005167457,0.00002701347,0.0001251845,0.0002952915,0.00003324035],"domain_scores_gemma":[0.9994709,0.0001538814,0.0000912178,0.00004263842,0.0001948314,0.00004655467],"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":[0.00009332587,0.0000407994,0.0004827534,0.0003677631,0.0000138235,0.0002417254,0.00006576253,0.000631223,0.9528127,0.001377808,0.0009144218,0.04295781],"study_design_scores_gemma":[0.0000396655,0.001293977,0.003975679,0.0000713702,0.00007913933,0.004297043,0.0001415284,0.03461254,0.9261252,0.001272897,0.02796846,0.0001224235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1565439,0.01085669,0.8165671,0.001321763,0.002028959,0.0002678817,0.0003637612,0.001585899,0.01046402],"genre_scores_gemma":[0.5477017,0.003420347,0.4333254,0.001725316,0.0004655273,0.0002425957,0.0002211184,0.0000682998,0.01282973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001893371,"threshold_uncertainty_score":0.006333947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663658347299784,"score_gpt":0.2711196867286279,"score_spread":0.24448310325563,"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."}}