{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01202549,0.001960855,0.004231983,0.008266448,0.001009287,0.003711702,0.004522936,0.005345499,0.02353194],"category_scores_gemma":[0.03299941,0.0009958318,0.005483878,0.006301276,0.001230939,0.006464224,0.002309332,0.004627341,0.007792741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003875442,"about_ca_system_score_gemma":0.02280965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01356724,"about_ca_topic_score_gemma":0.02416456,"domain_scores_codex":[0.993843,0.002292149,0.001536887,0.0005383714,0.001501933,0.0002877414],"domain_scores_gemma":[0.9803159,0.006985842,0.002752749,0.0005356212,0.008243561,0.001166386],"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":[0.000110887,0.0001694634,0.0005492165,0.1144872,0.0005382246,0.0001795531,0.000308891,0.0003097251,0.0002883445,0.005885691,0.261084,0.6160889],"study_design_scores_gemma":[0.0001409619,0.00007408714,0.002556485,0.2857396,0.001464859,0.0003292583,0.0007038775,0.0001641192,0.0001343801,0.01015501,0.6984626,0.00007471587],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002676207,0.9271165,0.002887174,0.05530587,0.006195053,0.0009081655,0.001387043,0.0001693394,0.005763342],"genre_scores_gemma":[0.002944412,0.9461604,0.02315693,0.01659928,0.00141307,0.001855754,0.001617439,0.00003925911,0.006213506],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02353194,"threshold_uncertainty_score":0.07872218,"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."}}