{"id":"W4401415318","doi":"10.1109/icra57147.2024.10610162","title":"Leveraging Compliant Tactile Perception for Haptic Blind Surface Reconstruction","year":2024,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Tactile perception; Computer science; Perception; Haptic perception; Stereotaxy; Computer vision; Tactile display; Artificial intelligence; Sensory substitution; Human–computer interaction; Computer graphics (images); Psychology","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":[0.0003657234,0.0005887053,0.0004268617,0.0004638695,0.0001852196,0.000585696,0.0006169433,0.0006420996,0.001527348],"category_scores_gemma":[0.001578047,0.0003371197,0.0004638691,0.000259137,0.0006521406,0.001023639,0.001493909,0.0004781776,0.0004695954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216104,"about_ca_system_score_gemma":0.000280771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002430775,"about_ca_topic_score_gemma":0.0003692818,"domain_scores_codex":[0.9995859,0.00005351672,0.00001933274,0.00007001043,0.0002375659,0.00003359246],"domain_scores_gemma":[0.999276,0.0002671741,0.000096116,0.0002323871,0.00009487924,0.00003346532],"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":[0.0002282072,0.0001152523,0.001208819,0.0002042322,0.00005349053,0.0004602974,0.0003550314,0.07290617,0.655268,0.006153603,0.0009181931,0.2621288],"study_design_scores_gemma":[0.00003059821,0.0003676286,0.001763297,0.00002616121,0.00002082106,0.0008611442,0.00009997989,0.8506405,0.1349669,0.00751144,0.003634837,0.00007652803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03548706,0.00007342064,0.9628918,0.0000331114,0.00002272161,0.00002496211,0.00001731375,0.0004859294,0.0009637249],"genre_scores_gemma":[0.5868548,0.0001342047,0.410651,0.00008740956,0.00002652859,0.00004829517,0.00007927226,0.0001221662,0.001996442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001527348,"threshold_uncertainty_score":0.005109429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1049864649183257,"score_gpt":0.3316270700614491,"score_spread":0.2266406051431235,"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."}}