{"id":"W2621335638","doi":"10.1519/jsc.0000000000002002","title":"Estimation of Peak Muscle Power From a Countermovement Vertical Jump in Children and Adolescents","year":2017,"lang":"en","type":"article","venue":"The Journal of Strength and Conditioning Research","topic":"Sports Performance and Training","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health Research Institute; University of British Columbia; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research; University of British Columbia","keywords":"Countermovement; Jump; Vertical jump; Mathematics; Statistics; Force platform; Power (physics); Stepwise regression; Estimation; Medicine; Physics; Physical therapy; Engineering; Thermodynamics","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":[0.001094058,0.0004868692,0.000352177,0.0009365214,0.0001527516,0.0004280679,0.0004941158,0.0004190101,0.0008163163],"category_scores_gemma":[0.003762766,0.0003110224,0.0003842177,0.0005680007,0.0002189023,0.0003631779,0.0003971728,0.000421417,0.0004014424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002327017,"about_ca_system_score_gemma":0.0002068313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006622755,"about_ca_topic_score_gemma":0.006861386,"domain_scores_codex":[0.9994783,0.0001045725,0.00006968078,0.0001385845,0.0001630815,0.00004579725],"domain_scores_gemma":[0.9986433,0.0004992497,0.0004496979,0.00007559932,0.0002745422,0.00005770781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007178589,0.00001960353,0.9914054,0.00002630808,0.00002626827,0.00006026639,0.0001495778,0.0002393561,0.001017426,0.00002082723,0.00008724257,0.006875979],"study_design_scores_gemma":[0.000003931591,0.0000894802,0.9977234,0.00001050815,0.00001502174,0.0002137744,0.0001298057,0.0008167134,0.0008343532,0.00001392252,0.0001459714,0.000003180379],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978399,0.0002586457,0.00116436,0.0000166951,0.000006928805,0.00001490052,0.0003848303,0.00001742704,0.0002962558],"genre_scores_gemma":[0.9967061,0.0002499084,0.002049492,0.00001301797,0.000005238821,0.00004673427,0.0006583662,0.00001238549,0.0002588693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006622755,"threshold_uncertainty_score":0.01316845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429032368780452,"score_gpt":0.3455138882608706,"score_spread":0.3212235645730661,"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."}}