{"id":"W2980661691","doi":"10.1145/3332167.3357118","title":"Towards Consistent Haptic Coupling with HaptiStrap","year":2019,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Computer science; Wearable computer; Actuator; Coupling (piping); Human–computer interaction; Smartwatch; GRASP; Wearable technology; Simulation; Physical medicine and rehabilitation; Artificial intelligence; Engineering; Mechanical engineering; Medicine","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":[0.003232099,0.0008816192,0.0005701269,0.0007910229,0.0005919441,0.001629967,0.00149701,0.001431057,0.007002293],"category_scores_gemma":[0.009495121,0.0007668761,0.0004910789,0.0004168395,0.001997457,0.0018888,0.002738158,0.001498315,0.001702654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002951481,"about_ca_system_score_gemma":0.0005604521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002614165,"about_ca_topic_score_gemma":0.0006659905,"domain_scores_codex":[0.997006,0.000634976,0.0001834754,0.0006194551,0.001346172,0.0002099033],"domain_scores_gemma":[0.9939768,0.003093207,0.0006897236,0.001073901,0.0008866266,0.0002796213],"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":[0.0002177404,0.00008501123,0.0004317867,0.0007640111,0.00004116524,0.000334036,0.0005130536,0.000272501,0.9644564,0.002062029,0.001370921,0.02945121],"study_design_scores_gemma":[0.0001624252,0.002526761,0.007931864,0.0003171366,0.0001259179,0.002065076,0.0008000365,0.004714961,0.9303202,0.003741452,0.04712048,0.0001735744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2943633,0.003662249,0.6787388,0.001463057,0.001669764,0.001894178,0.00108741,0.002496673,0.01462457],"genre_scores_gemma":[0.536494,0.002102902,0.4434128,0.001447749,0.0003015263,0.003135083,0.0006978178,0.001008233,0.01139971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007002293,"threshold_uncertainty_score":0.02342498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04489233243249344,"score_gpt":0.2767670643448402,"score_spread":0.2318747319123468,"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."}}