{"id":"W4414565481","doi":"10.1145/3746058.3758993","title":"Sound2Haptic: A Toolkit for Portable Multi-Channel Haptic Integration Across Multiple Form Factors and Devices","year":2025,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Haptic technology; Process (computing); Teleoperation; Key (lock); Perspective (graphical)","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":[0.0007411043,0.001470921,0.0007704869,0.0007011534,0.0004259867,0.001140355,0.002471728,0.001028265,0.04576416],"category_scores_gemma":[0.001674764,0.001062885,0.001213035,0.0004080813,0.0004879762,0.001330801,0.003020911,0.001268488,0.01122254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471902,"about_ca_system_score_gemma":0.0006327007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001183151,"about_ca_topic_score_gemma":0.002862222,"domain_scores_codex":[0.9994373,0.00005653506,0.00003666296,0.00007256381,0.0003264987,0.00007050128],"domain_scores_gemma":[0.9994391,0.0002611738,0.00002677351,0.0001054126,0.00009996018,0.00006762619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001956224,0.0003643573,0.001503258,0.002110745,0.0003808345,0.001915572,0.001502302,0.008032405,0.3352751,0.01364846,0.101143,0.5321676],"study_design_scores_gemma":[0.0009909658,0.001208115,0.006740112,0.0004395535,0.0004070357,0.005116809,0.0004484226,0.1834101,0.3184566,0.01542994,0.4666245,0.0007278284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01327922,0.0006045108,0.807831,0.0001133982,0.0001848738,0.0004399227,0.002273006,0.162006,0.01326813],"genre_scores_gemma":[0.1978326,0.001105642,0.6678752,0.0004130288,0.00009328272,0.00153851,0.007875333,0.0388939,0.08437251],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04576416,"threshold_uncertainty_score":0.1530964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07805660562556498,"score_gpt":0.3439222892510286,"score_spread":0.2658656836254636,"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."}}