{"id":"W2200981724","doi":"10.1007/s00221-015-4521-4","title":"Grasping a 2D object: terminal haptic feedback supports an absolute visuo-haptic calibration","year":2015,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Object (grammar); Task (project management); Perception; Computer vision; Psychology; Artificial intelligence; Computer science; Haptic perception; Cognitive psychology; Communication; Engineering","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":[0.000599565,0.0005342079,0.000345136,0.0002534568,0.0002302238,0.001235933,0.000812312,0.001258255,0.005796945],"category_scores_gemma":[0.004264367,0.0004122882,0.0002829198,0.0001991406,0.0008584612,0.00185553,0.001036938,0.0004994938,0.0006325138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200977,"about_ca_system_score_gemma":0.0003655282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002350345,"about_ca_topic_score_gemma":0.0001820903,"domain_scores_codex":[0.999652,0.0000617909,0.0000279651,0.00009222636,0.0001127012,0.00005325876],"domain_scores_gemma":[0.9986657,0.0007468329,0.0001531339,0.000199024,0.0001004528,0.000134899],"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":[0.0009401301,0.00004792071,0.0002023655,0.00009993021,0.000005165442,0.0001767747,0.00008800731,0.0009800753,0.9890514,0.0007496486,0.00009042497,0.007567999],"study_design_scores_gemma":[0.0005033842,0.002815234,0.0317038,0.0001259963,0.00008839388,0.002988915,0.0002773092,0.1100118,0.8430969,0.005233182,0.003026751,0.0001282209],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9451771,0.0002670066,0.04960122,0.0002174349,0.000114583,0.00004032462,0.00009219365,0.0003094904,0.004180647],"genre_scores_gemma":[0.9901147,0.0000762692,0.008813175,0.00005627772,0.00001839392,0.00001463782,0.00003622246,0.00004103493,0.0008293187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005796945,"threshold_uncertainty_score":0.01939267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1754430370888176,"score_gpt":0.4390448846954938,"score_spread":0.2636018476066762,"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."}}