{"id":"W2024096299","doi":"10.1109/smc.2014.6974466","title":"Toward Haptic Perception of Objects in a Visual and Depth Guided Navigation","year":2014,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Haptic technology; Computer science; Computer vision; Artificial intelligence; Haptic perception; Orientation (vector space); Perception; Object (grammar); Dimension (graph theory); Tactile sensor; Robot; Mathematics","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":[0.0004645085,0.0003100756,0.0002109585,0.0002036214,0.0001820626,0.0009472936,0.0003462072,0.0006197167,0.00178619],"category_scores_gemma":[0.003276147,0.0002667023,0.0002004445,0.00008267909,0.0006778655,0.001269195,0.0006951162,0.0002452523,0.0003033616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001345812,"about_ca_system_score_gemma":0.0001533102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007207219,"about_ca_topic_score_gemma":0.0004344385,"domain_scores_codex":[0.9996192,0.000119618,0.00001274264,0.00006981081,0.0001419402,0.0000366844],"domain_scores_gemma":[0.9988439,0.0007160802,0.0001167566,0.00007981892,0.0001834527,0.00005981559],"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":[0.0007370617,0.00009013645,0.004164957,0.0003446363,0.00002469621,0.0003807091,0.004062623,0.002567657,0.9111299,0.002277588,0.0002472681,0.07397287],"study_design_scores_gemma":[0.0001527114,0.005425157,0.2211671,0.000494077,0.000249928,0.007501152,0.008834413,0.1331949,0.5907447,0.01344841,0.01842259,0.0003647808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968335,0.000998502,0.09738807,0.0001294962,0.00003230494,0.00002771089,0.00003756814,0.0001769084,0.004375953],"genre_scores_gemma":[0.9817024,0.0002920426,0.01663371,0.00004786579,0.000008855295,0.00001902387,0.00001884759,0.00001621098,0.001260961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00178619,"threshold_uncertainty_score":0.005975425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05589728040553747,"score_gpt":0.3316165075464387,"score_spread":0.2757192271409012,"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."}}