{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003082792,0.00008682327,0.00008904405,0.00009604103,0.000552338,0.00006105797,0.0001231389,0.00001699285,0.003318088],"category_scores_gemma":[0.0002427182,0.00008552882,0.00008210554,0.0001640381,0.00001571031,0.0003607953,0.0000638263,0.0001761745,0.0001324378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008460074,"about_ca_system_score_gemma":0.00002910567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002620982,"about_ca_topic_score_gemma":0.00001324463,"domain_scores_codex":[0.9991142,0.00008652436,0.0001506569,0.0002986918,0.0001611931,0.000188692],"domain_scores_gemma":[0.9991537,0.0005307602,0.00007195294,0.0001735438,0.00002847362,0.00004157724],"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":[0.0001895389,0.0001941703,0.00001505294,0.000004106516,0.000007055114,0.000007914566,0.0006545846,0.0007984877,0.9757358,0.007705639,0.01371219,0.0009754602],"study_design_scores_gemma":[0.0003404539,0.0002372372,0.00002276189,0.00000131118,0.000008351991,0.00008438892,0.002440998,0.008750769,0.7374547,0.0006128963,0.2499201,0.0001260074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7382728,0.000003330377,0.02174382,0.007965108,0.004388139,0.001827317,0.0004649535,0.0006232015,0.2247113],"genre_scores_gemma":[0.9621928,0.000001270297,0.000543441,0.003328976,0.00008485093,0.0002530715,0.00001064488,0.00001679503,0.0335682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2382811,"threshold_uncertainty_score":0.997593,"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."}}