{"id":"W4412232393","doi":"","title":"Smart swim goggles with AR display accurately and reliably measure swim performance metrics in recreational swimmers","year":2023,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Measure (data warehouse); Recreation; Computer science; Simulation; Biology; Data mining; Ecology","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":[0.0005373068,0.0007508332,0.0006503601,0.0007762852,0.0001959536,0.0006541789,0.0004463126,0.001056039,0.002735542],"category_scores_gemma":[0.002255495,0.0003283641,0.0002441118,0.000353135,0.0002165255,0.0005331438,0.0009729387,0.0003467081,0.001600032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001042327,"about_ca_system_score_gemma":0.0001846606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105524,"about_ca_topic_score_gemma":0.002756932,"domain_scores_codex":[0.9994655,0.0001323005,0.00003946398,0.0001173635,0.0001751532,0.00007025547],"domain_scores_gemma":[0.9992265,0.0002625823,0.0001314111,0.00004527098,0.0002477852,0.00008659714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.009521599,0.0009018309,0.2704503,0.001319519,0.0004131203,0.0004812242,0.001009048,0.003125549,0.4828699,0.0002353635,0.006492288,0.2231803],"study_design_scores_gemma":[0.0002279272,0.006064482,0.9130982,0.0003302847,0.0003326258,0.001432687,0.0008160071,0.02308774,0.0491414,0.0003335484,0.005007175,0.0001279088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740571,0.0009895597,0.02020928,0.0001236343,0.0001382042,0.0001544347,0.001101592,0.0005866796,0.002639616],"genre_scores_gemma":[0.9729278,0.0006564948,0.01933867,0.0004819155,0.0001544702,0.0004367649,0.001120099,0.000170648,0.004713029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002735542,"threshold_uncertainty_score":0.00915134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02903321214521375,"score_gpt":0.2486344039793177,"score_spread":0.219601191834104,"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."}}