{"id":"W4237153490","doi":"10.1109/imtc.1995.515374","title":"Distributed-force recovery for a planar photoelastic tactile sensor","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Tactile sensor; Planar; Computer science; Acoustics; Robot; Physics; Computer graphics (images); 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":[0.0002022387,0.0002524723,0.0002919473,0.0001485341,0.0002572406,0.0002639875,0.0006482787,0.0006050533,0.001347978],"category_scores_gemma":[0.0006625639,0.0001770567,0.000159703,0.0001741616,0.0003677305,0.0006410256,0.0006461937,0.0004144886,0.0002169779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621391,"about_ca_system_score_gemma":0.0002958296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009118693,"about_ca_topic_score_gemma":0.001201857,"domain_scores_codex":[0.9998569,0.00001479154,0.000004496324,0.00003202763,0.0000774151,0.00001430406],"domain_scores_gemma":[0.9998348,0.00006067115,0.00002427983,0.0000338486,0.00003425423,0.00001215466],"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":[0.0007864698,0.0002004881,0.0008453267,0.0001556717,0.00002891307,0.0003448428,0.0001432186,0.206857,0.6003533,0.01013199,0.001364852,0.1787879],"study_design_scores_gemma":[0.0000272664,0.0001084579,0.0006151487,0.000004496993,0.000006298969,0.0001321949,0.00002086645,0.942047,0.05397531,0.002333833,0.0007145575,0.0000146236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1481298,0.0002036053,0.8482313,0.0004003626,0.00005140799,0.00003357865,0.00004073282,0.0003945467,0.00251462],"genre_scores_gemma":[0.9164901,0.00008055003,0.07890999,0.00005451109,0.00001722539,0.00002241921,0.0000320733,0.00002480594,0.004368296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001347978,"threshold_uncertainty_score":0.004509449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416778931015874,"score_gpt":0.20762541642078,"score_spread":0.1834576271106212,"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."}}