{"id":"W3189183138","doi":"10.1515/jqas-2020-0055","title":"Towards a more objective time standard in competitive rowing","year":2021,"lang":"en","type":"article","venue":"Journal of Quantitative Analysis in Sports","topic":"Sports Performance and Training","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific; University of Toronto","funders":"","keywords":"Rowing; Gold medal; Outlier; Statistics; Event (particle physics); Linear regression; Mathematics; Mean squared error; Econometrics; Geography","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":[0.001179875,0.0001621649,0.001158348,0.001407925,0.00003074039,0.0000184205,0.00006398909,0.00007255377,0.0005061403],"category_scores_gemma":[0.0002064632,0.0001385884,0.0004405486,0.002719551,0.0000807248,0.0003323822,0.00002513647,0.0004880508,0.000003662989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002509166,"about_ca_system_score_gemma":0.0005996625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003528031,"about_ca_topic_score_gemma":0.0001757013,"domain_scores_codex":[0.9978706,0.00004213358,0.0009254473,0.0002204814,0.0006983522,0.0002429521],"domain_scores_gemma":[0.9984375,0.00007441731,0.0004802185,0.0001535363,0.000752481,0.0001017991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006368107,0.000214909,0.9725166,0.0000223589,0.0009635045,0.01311745,0.008742072,0.00162033,0.0002873261,0.0003937772,0.00002533968,0.001459545],"study_design_scores_gemma":[0.001661115,0.0003006598,0.9677746,0.0005948542,0.0009696953,0.0002049747,0.02577671,0.001244854,0.0009288881,0.0001858134,0.0002205755,0.0001372271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934718,0.0008537383,0.0003587076,0.000444853,0.00007079634,0.00007370319,0.000005511612,0.000005251909,0.004715653],"genre_scores_gemma":[0.9933501,0.0002696227,0.005903809,0.0002538227,0.00005801688,0.000001723177,0.00002070269,0.00001347449,0.0001287201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01703464,"threshold_uncertainty_score":0.5651471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361063331831431,"score_gpt":0.3465550230275524,"score_spread":0.3229443897092381,"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."}}