{"id":"W4413577739","doi":"10.64628/aam.sk5j4cppc","title":"Wearable tech at the Olympics: How athletes are using it to train to win","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Athletes; Wearable computer; Wearable technology; Advertising; Aeronautics; Computer science; Psychology; Applied psychology; Engineering; Business; Physical therapy; Medicine; Embedded 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":[0.0009923861,0.0005638521,0.0002429526,0.0008914906,0.001212152,0.005625721,0.0005141547,0.001695025,0.01626115],"category_scores_gemma":[0.003850942,0.0003494049,0.0004498055,0.0008662538,0.001384845,0.003155744,0.0017941,0.001083313,0.005924222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000378137,"about_ca_system_score_gemma":0.0005311344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003048216,"about_ca_topic_score_gemma":0.007691497,"domain_scores_codex":[0.9990331,0.0003690796,0.000035245,0.0001318857,0.0002801796,0.0001504582],"domain_scores_gemma":[0.9990415,0.0002798097,0.0001068657,0.0001067997,0.0002242458,0.0002407486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007922036,0.0006309882,0.07164653,0.001027687,0.0003498543,0.0009186831,0.02305558,0.001475523,0.02205689,0.03094193,0.1646885,0.6824155],"study_design_scores_gemma":[0.00009655496,0.0008767755,0.176447,0.001665296,0.000381094,0.002485102,0.05303534,0.004021756,0.008240606,0.04591923,0.7066134,0.0002177672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3829828,0.01475584,0.05751174,0.04041156,0.007650625,0.0001905152,0.001306996,0.00171762,0.4934724],"genre_scores_gemma":[0.7960152,0.01055685,0.02209121,0.005786965,0.001905501,0.0001293531,0.0009602136,0.001019449,0.1615351],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01626115,"threshold_uncertainty_score":0.05439889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07071934232696314,"score_gpt":0.3167863355977477,"score_spread":0.2460669932707845,"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."}}