{"id":"W4307472566","doi":"10.1145/3526113.3545640","title":"iWood: Makeable Vibration Sensor for Interactive Plywood","year":2022,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Triboelectric effect; Vibration; Computer science; Woodworking; Gesture; Table (database); Sensitivity (control systems); Fabrication; Acoustics; Mechanical engineering; Engineering; Artificial intelligence; Materials science; Electronic engineering; Composite material","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":[0.0002632406,0.0005890442,0.0002914256,0.0004889344,0.0002037766,0.00030111,0.0009334072,0.0004338951,0.00220412],"category_scores_gemma":[0.0004444636,0.0002199358,0.0002521249,0.0002997749,0.0002924114,0.0007629465,0.0007000123,0.0003254575,0.0003372399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001784887,"about_ca_system_score_gemma":0.00017282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005719379,"about_ca_topic_score_gemma":0.001684167,"domain_scores_codex":[0.9997036,0.00001963894,0.00001324979,0.00008778525,0.0001367267,0.00003903755],"domain_scores_gemma":[0.9998443,0.00003878268,0.00002188366,0.00001937513,0.00004178238,0.00003373054],"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":[0.0001421179,0.00004542653,0.001459621,0.0002833718,0.00001582928,0.0003715459,0.0001341217,0.0004232076,0.9374157,0.0005660118,0.001187825,0.05795513],"study_design_scores_gemma":[0.00003898455,0.0009543904,0.0120474,0.00003644922,0.0000820159,0.002564485,0.0002897454,0.01017403,0.9463211,0.0004469517,0.02695566,0.00008866409],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6641383,0.002384231,0.3203173,0.0003215033,0.0005463726,0.0002639907,0.001353519,0.00282248,0.007852387],"genre_scores_gemma":[0.8821228,0.0005197522,0.1083885,0.0001611984,0.00002766562,0.0001109551,0.000644356,0.0001145011,0.007910265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00220412,"threshold_uncertainty_score":0.007373512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04916837811795371,"score_gpt":0.301621604690621,"score_spread":0.2524532265726673,"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."}}