{"id":"W2904126134","doi":"10.1109/lsc.2018.8572105","title":"A Wearable Electronic Swim Coach for Blind Athletes","year":2018,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Gyroscope; Computer science; Track (disk drive); Wearable computer; Simulation; Human–computer interaction; Computer vision; Computer hardware; Artificial intelligence; Embedded system; Engineering; Operating system","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":[0.0002420493,0.0005544355,0.0003813768,0.0005682153,0.0005818376,0.0005779375,0.0007599443,0.0008668746,0.00877886],"category_scores_gemma":[0.0004345557,0.0001603142,0.0002576984,0.0002279114,0.0002240162,0.0005408809,0.00145833,0.0003102021,0.002659316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398373,"about_ca_system_score_gemma":0.0004934841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064194,"about_ca_topic_score_gemma":0.002611584,"domain_scores_codex":[0.9998016,0.00003285344,0.000009883186,0.00005049203,0.00006726645,0.00003802665],"domain_scores_gemma":[0.9998127,0.00002294073,0.00001019293,0.00001992942,0.0000745695,0.00005966436],"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":[0.001408208,0.0007811995,0.008762242,0.001358491,0.00008050099,0.001484581,0.0009251366,0.0009766796,0.2714245,0.001770636,0.0153853,0.6956425],"study_design_scores_gemma":[0.001076123,0.02118867,0.1656201,0.002476041,0.000748609,0.02521829,0.008894788,0.1064385,0.2839707,0.004868471,0.3788891,0.0006107033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5600638,0.002630295,0.3716429,0.001263336,0.0009475904,0.001642502,0.001030279,0.005536761,0.05524254],"genre_scores_gemma":[0.8132732,0.001431808,0.1195954,0.000852239,0.0001274316,0.00111577,0.0006565457,0.0001583534,0.06278936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00877886,"threshold_uncertainty_score":0.02936822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05689634680699872,"score_gpt":0.3234525264831987,"score_spread":0.2665561796761999,"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."}}