{"id":"W3047276944","doi":"10.3389/fbioe.2020.00814","title":"Classifying Elite From Novice Athletes Using Simulated Wearable Sensor Data","year":2020,"lang":"en","type":"article","venue":"Frontiers in Bioengineering and Biotechnology","topic":"Sports Performance and Training","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; York University; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Wearable computer; Elite athletes; Athletes; Computer science; Elite; Psychology; Medicine; Physical therapy; Embedded system; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008413463,0.0006076212,0.0004103657,0.001695781,0.0002053406,0.0006312663,0.0003276761,0.0004986252,0.0008295659],"category_scores_gemma":[0.002663817,0.00009950147,0.0003083034,0.0006278992,0.0002184594,0.0004299964,0.0006119261,0.0002140214,0.0004162343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623454,"about_ca_system_score_gemma":0.0002148902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00222221,"about_ca_topic_score_gemma":0.004866228,"domain_scores_codex":[0.9995004,0.00007661052,0.00008187135,0.0001365451,0.0001194674,0.00008512486],"domain_scores_gemma":[0.9989415,0.0003947472,0.0002035758,0.0001011318,0.0002444303,0.0001145528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001211886,0.0006024345,0.6558696,0.0003636048,0.0001852088,0.0004074286,0.0006592156,0.02007613,0.03322547,0.0004388461,0.001188453,0.2857718],"study_design_scores_gemma":[0.0000445212,0.001621041,0.7827753,0.0001225352,0.00009037783,0.0005137162,0.001462662,0.1964098,0.01414999,0.0008926483,0.001859502,0.00005786284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823464,0.00008989378,0.0156851,0.00003962985,0.00002336231,0.00008947639,0.0004700526,0.00009899177,0.001157231],"genre_scores_gemma":[0.9848967,0.000120368,0.0130489,0.00004371711,0.00002003224,0.00006922895,0.0009656115,0.00001496274,0.0008204876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00222221,"threshold_uncertainty_score":0.004449546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04238503264139296,"score_gpt":0.2607034999349494,"score_spread":0.2183184672935564,"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."}}