{"id":"W4396833160","doi":"10.1145/3613905.3638190","title":"Creating Positive Social Experiences Through the Design of Custom Wearables","year":2024,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Wearable computer; Interactivity; Wearable technology; Computer science; Human–computer interaction; Internet privacy; World Wide Web","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":[0.001896172,0.0007499705,0.0002099706,0.0006367008,0.0008024761,0.00379522,0.001041241,0.0007561388,0.005407372],"category_scores_gemma":[0.003148554,0.0004382429,0.0006871052,0.0003348585,0.003001137,0.003346073,0.003849868,0.0008258727,0.0009061663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808932,"about_ca_system_score_gemma":0.000351122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000168966,"about_ca_topic_score_gemma":0.0003699227,"domain_scores_codex":[0.9985065,0.0008157483,0.00006712769,0.000176673,0.0002934404,0.0001405302],"domain_scores_gemma":[0.9988077,0.0005564423,0.0001110957,0.0002639706,0.000124425,0.0001363795],"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":[0.0003368783,0.0006179177,0.009436353,0.003399355,0.0002022666,0.002519727,0.1477749,0.007505142,0.1017949,0.2382689,0.0217257,0.4664179],"study_design_scores_gemma":[0.0001936394,0.001288003,0.01716195,0.00243389,0.0003207359,0.00494403,0.06486236,0.01939961,0.04953111,0.09865333,0.7409015,0.0003098279],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4173017,0.002694739,0.3640003,0.004002777,0.0008262497,0.0007558702,0.0001392219,0.001664443,0.2086147],"genre_scores_gemma":[0.8443166,0.002371063,0.1237765,0.0006070469,0.0001023018,0.0004584134,0.0000866416,0.0003678921,0.02791352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005407372,"threshold_uncertainty_score":0.01808941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03871539524021279,"score_gpt":0.3186918087917354,"score_spread":0.2799764135515226,"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."}}