{"id":"W4402662653","doi":"10.1249/01.mss.0001056024.87883.99","title":"Objective Training Load Monitoring Using Smart Swim Goggles","year":2024,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Simon Fraser University","funders":"","keywords":"Training (meteorology); Computer science; Aeronautics; Environmental science; Engineering; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005048665,0.0009228232,0.0005100009,0.001270359,0.0001932863,0.000369478,0.0005192668,0.0003950308,0.001608357],"category_scores_gemma":[0.00194293,0.0002812991,0.0002292371,0.0006991339,0.000210447,0.0004050402,0.0006188378,0.0002787813,0.0005362615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601703,"about_ca_system_score_gemma":0.0002209943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002550898,"about_ca_topic_score_gemma":0.00770694,"domain_scores_codex":[0.9994555,0.0001139904,0.00004194364,0.0001400911,0.000207317,0.00004111136],"domain_scores_gemma":[0.9992323,0.0001651945,0.0003234244,0.00004786126,0.0001750884,0.00005612148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001633615,0.000624869,0.669129,0.001281876,0.0005212009,0.0002118374,0.0007317002,0.01120342,0.118913,0.0002036832,0.002506885,0.193039],"study_design_scores_gemma":[0.000041095,0.001258382,0.9684641,0.00007269733,0.00009853458,0.0002069758,0.0001318766,0.01749425,0.01068324,0.0001286952,0.001377603,0.00004275637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.966462,0.0003512336,0.02606227,0.00007098792,0.00002189909,0.0003126186,0.002727404,0.0006560199,0.003335575],"genre_scores_gemma":[0.9683899,0.0003280688,0.02611376,0.0001331276,0.00004580557,0.0006021321,0.002081853,0.00008358764,0.002221778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002550898,"threshold_uncertainty_score":0.005380452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0394193597761851,"score_gpt":0.3270572749551582,"score_spread":0.2876379151789731,"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."}}