{"id":"W1677408614","doi":"10.1109/iembs.1990.692081","title":"Flexible Exploration By Human And Robotic Haptic System","year":2005,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Haptic technology; Haptic perception; Computer science; Perception; Object (grammar); Human–computer interaction; Artificial intelligence; Stereotaxy; Robot; Computer vision","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":[0.0005017837,0.0002218507,0.0001834152,0.0001746584,0.0002856059,0.000884461,0.0002688061,0.0005249367,0.002975622],"category_scores_gemma":[0.001585727,0.000228828,0.0002546592,0.00008388182,0.0014023,0.001276518,0.0008533563,0.0002376228,0.0004107602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002243661,"about_ca_system_score_gemma":0.0002997366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004390016,"about_ca_topic_score_gemma":0.0002997238,"domain_scores_codex":[0.9996475,0.00009123635,0.00001358798,0.00008573053,0.0001175313,0.00004443038],"domain_scores_gemma":[0.999569,0.0001668782,0.00005261042,0.0001280481,0.00003015627,0.0000532087],"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":[0.001005684,0.0001118337,0.006304281,0.0003231098,0.0001148884,0.001209342,0.001565808,0.04049848,0.6934202,0.07738442,0.003106376,0.1749557],"study_design_scores_gemma":[0.0004274548,0.002755413,0.09054486,0.000307443,0.0001691142,0.01165676,0.002188517,0.4142851,0.1739006,0.2012566,0.101946,0.0005621173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6863699,0.00188907,0.2580892,0.0008376853,0.00008885114,0.00005850325,0.0001145555,0.001395031,0.05115723],"genre_scores_gemma":[0.9799092,0.0001920861,0.01709901,0.00008592957,0.00001085281,0.00002507956,0.00003479197,0.00003080569,0.002612209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002975622,"threshold_uncertainty_score":0.009954393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06891105868516095,"score_gpt":0.3012719597802477,"score_spread":0.2323609010950867,"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."}}