{"id":"W2046864679","doi":"10.1115/1.1471531","title":"An Endoscopic and Robotic Tooth-like Compliance and Roughness Tactile Sensor","year":2002,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Tactile sensor; Polyvinylidene fluoride; Measure (data warehouse); Surface roughness; Surface finish; Deformation (meteorology); Robot end effector; Fabrication; Acoustics; Robot; Mechanical engineering; Materials science; Computer science; Artificial intelligence; Engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001775244,0.0001316353,0.0003001323,0.00004468802,0.00005746982,0.00006159687,0.00008754529,0.00006945561,0.00007725014],"category_scores_gemma":[0.00006435616,0.0001139489,0.00002411574,0.00005503741,0.00002252094,0.0002846732,0.00001042221,0.0001484083,0.0000045925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002057944,"about_ca_system_score_gemma":0.000002568039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001754807,"about_ca_topic_score_gemma":6.094011e-7,"domain_scores_codex":[0.9992003,0.0000814903,0.0003030982,0.0001075481,0.0001244485,0.0001830943],"domain_scores_gemma":[0.9994457,0.0001542328,0.00008005167,0.0001077267,0.00004042312,0.0001718986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005531701,0.0000769704,0.00002141617,0.0001443694,0.00006597942,0.0002118797,0.0001458524,0.2807087,0.7053924,0.0007487194,0.0004433733,0.01198502],"study_design_scores_gemma":[0.003122139,0.001536004,0.00106589,0.0007128873,0.0001786587,0.002207338,0.0001659421,0.7897872,0.1924958,0.004868657,0.003009893,0.0008495133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2523297,0.001597071,0.7446507,0.00007152568,0.0009547414,0.0001057047,0.000002545385,0.0001081135,0.0001798603],"genre_scores_gemma":[0.9422802,0.0004612891,0.0569323,0.00007087434,0.0001590427,0.000001265509,2.127602e-7,0.00002667499,0.00006810962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6899505,"threshold_uncertainty_score":0.4646703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05855479322903773,"score_gpt":0.2570087004220871,"score_spread":0.1984539071930494,"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."}}