{"id":"W3209328345","doi":"10.3390/biology10111082","title":"Performance Prediction Equation for 2000 m Youth Indoor Rowing Using a 100 m Maximal Test","year":2021,"lang":"en","type":"article","venue":"Biology","topic":"Sports Performance and Training","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Universidade Federal do Rio Grande do Norte; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Rowing; Reliability (semiconductor); Athletes; Test (biology); Expectancy theory; Statistics; Mathematics; Physical therapy; Biology; Psychology; Medicine; Ecology; Social psychology; Physics","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":[0.0001584551,0.00008563617,0.0001656539,0.00007341227,0.0001046723,0.000007564315,0.00002534758,0.0001163099,0.00006360489],"category_scores_gemma":[0.00007108432,0.00007722221,0.00005010194,0.0001309122,0.00003526135,0.000110508,0.00001489927,0.00009036024,0.000008949635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006737909,"about_ca_system_score_gemma":0.0002511493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001241307,"about_ca_topic_score_gemma":0.000001502577,"domain_scores_codex":[0.9993295,0.000004906692,0.000200807,0.0001962004,0.00005447658,0.0002141217],"domain_scores_gemma":[0.9996576,0.00002595294,0.00005872588,0.000117407,0.00009800446,0.00004231388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000124902,0.00006051717,0.965739,0.00005614,0.0000287566,0.000005831057,0.000647343,0.00005017251,0.01931522,0.00003662314,0.00001287552,0.01392262],"study_design_scores_gemma":[0.004729558,0.001544234,0.8110928,0.0003171219,0.0003397748,0.0003481141,0.001669197,0.1487825,0.02702424,0.00005082442,0.003821733,0.0002798575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967899,0.0001672415,0.001583469,0.00009262974,0.0003390317,0.0001884242,0.00002649913,0.00005187658,0.000760945],"genre_scores_gemma":[0.9955835,0.00002871863,0.002904466,0.0002412312,0.000587251,0.00001778462,0.00045437,0.00001333281,0.0001693114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1546462,"threshold_uncertainty_score":0.3149031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09843804607193973,"score_gpt":0.3091548259948746,"score_spread":0.2107167799229349,"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."}}