{"id":"W2968199171","doi":"10.1007/s11332-019-00577-7","title":"Maximal isometric handgrip strength in judo athletes from different age groups","year":2019,"lang":"en","type":"article","venue":"Sport Sciences for Health","topic":"Sports injuries and prevention","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Isometric exercise; Analysis of variance; Athletes; Cadet; Sports medicine; Medicine; Physical therapy; Internal medicine","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":[0.0002630574,0.0003558221,0.0004934942,0.001084913,0.0007093252,0.0006723974,0.0003117952,0.0006381585,0.002530275],"category_scores_gemma":[0.0009818415,0.0003277174,0.0006122228,0.0006060107,0.0003085622,0.0005190797,0.0008030785,0.0005052646,0.000674483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000239319,"about_ca_system_score_gemma":0.0002098515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009787693,"about_ca_topic_score_gemma":0.01441012,"domain_scores_codex":[0.9996231,0.00003684315,0.00004161306,0.00008899313,0.00004047541,0.0001689585],"domain_scores_gemma":[0.9994749,0.00009827639,0.0001098835,0.0000183257,0.00009235911,0.000206241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004786585,0.0001675363,0.9943328,0.00002075099,0.00009061491,0.0002603387,0.0005796849,0.00003905004,0.00117262,0.00003056112,0.000124258,0.002703327],"study_design_scores_gemma":[0.000002895335,0.0001105331,0.9988462,0.00000380687,0.00001893411,0.00008770979,0.0007698007,0.00003073951,0.00004219477,0.00001147936,0.00007359615,0.000002104837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990822,0.0001177642,0.00002856064,0.00002688485,0.000009759937,0.000003889119,0.0001332923,0.000001680587,0.0005959437],"genre_scores_gemma":[0.9988127,0.00008387439,0.00002162858,0.00003403669,0.0000121243,0.000005808183,0.0002515926,0.000001953386,0.0007763563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009787693,"threshold_uncertainty_score":0.01946139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251310603988881,"score_gpt":0.32765550352738,"score_spread":0.3025244431284919,"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."}}