{"id":"W2944548304","doi":"10.3390/sports7050105","title":"Recommendations for Measurement and Management of an Elite Athlete","year":2019,"lang":"en","type":"review","venue":"Sports","topic":"Sports Performance and Training","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Athletes; Elite; Nomothetic; Elite athletes; Psychology; Process (computing); Applied psychology; Control (management); Population; Computer science; Nomothetic and idiographic; Social psychology; Physical therapy; Medicine; Artificial intelligence; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004927158,0.0001818245,0.0008681245,0.0001330743,0.00002949634,0.00000566941,0.00004452322,0.00008709246,0.00005713901],"category_scores_gemma":[0.00000185365,0.0001443634,0.0001738174,0.00008842705,0.00001708231,0.00005563998,0.00002111238,0.00008850306,0.000003692115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004394284,"about_ca_system_score_gemma":0.0000889326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002426302,"about_ca_topic_score_gemma":0.000001032747,"domain_scores_codex":[0.998857,0.000003079154,0.0004684689,0.0002643384,0.0002510743,0.0001560175],"domain_scores_gemma":[0.9992293,0.000004738903,0.0002704175,0.0003517813,0.00007423855,0.00006951488],"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":[0.000009119992,0.00003983186,0.00009553595,0.03846261,0.0001735876,0.00001348051,0.0000375397,4.05952e-8,4.644845e-8,0.0001262473,0.0002083874,0.9608335],"study_design_scores_gemma":[0.0003780047,0.0001015584,0.0009106362,0.03428026,0.002134851,0.00003201087,0.00004643751,0.000002678627,5.340718e-7,0.00001136424,0.961978,0.0001237257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001162789,0.9955265,0.00001633621,0.00003553976,0.0002630729,0.001841489,0.00002081992,0.00002144506,0.002158543],"genre_scores_gemma":[0.00009142606,0.9956796,0.002845788,0.00005010722,0.00008945278,0.0001351974,0.0005055718,0.0000339639,0.0005688992],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9617696,"threshold_uncertainty_score":0.5886968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1999690808541607,"score_gpt":0.390768332214084,"score_spread":0.1907992513599234,"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."}}