{"id":"W3131389192","doi":"10.1145/3430524.3446069","title":"Textile Game Controllers: Exploring Affordances of E-Textile Techniques as Applied to Alternative Game Controllers","year":2021,"lang":"en","type":"article","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Affordance; Textile; Game design; Game Developer; Computer science; General partnership; Game design document; Cover (algebra); Embodied cognition; Equity (law); Human–computer interaction; Architectural engineering; Engineering; Business; Political science; Artificial intelligence","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":[0.001993575,0.0006011887,0.0001816722,0.001030333,0.001248501,0.004218221,0.0009242464,0.0008615461,0.007215675],"category_scores_gemma":[0.005028817,0.0002871009,0.0003722313,0.0004468505,0.003227144,0.003265287,0.003462441,0.0007463966,0.0005287885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004764573,"about_ca_system_score_gemma":0.0004910055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004680168,"about_ca_topic_score_gemma":0.001232708,"domain_scores_codex":[0.9986606,0.0008418676,0.00002837975,0.0001249771,0.0001694782,0.0001747231],"domain_scores_gemma":[0.9972821,0.002130618,0.0001270451,0.0002107002,0.00007789494,0.0001716089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001512211,0.001622694,0.01968656,0.002976641,0.0001089534,0.00496596,0.4193183,0.008634128,0.1473856,0.1399907,0.0046422,0.249156],"study_design_scores_gemma":[0.0003209142,0.003390586,0.05064056,0.00146981,0.000192247,0.006319932,0.3972132,0.03328997,0.05950726,0.09920516,0.3481362,0.0003141188],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.867161,0.0003152942,0.06775012,0.0006312599,0.00007865498,0.000225482,0.00006944005,0.0002216807,0.06354713],"genre_scores_gemma":[0.9582779,0.0001688834,0.03523959,0.00008191474,0.000009299375,0.0001224351,0.00002952327,0.00007549045,0.00599492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007215675,"threshold_uncertainty_score":0.02413887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163651197227342,"score_gpt":0.2223801009894852,"score_spread":0.206014981266751,"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."}}