{"id":"W4411351188","doi":"10.1007/s40279-025-02201-w","title":"Estimating the Replicability of Sports and Exercise Science Research","year":2025,"lang":"en","type":"article","venue":"Sports Medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia; University of Waterloo; Mount Royal University","funders":"Technological University Dublin; Irish Research Council","keywords":"Replication (statistics); Sports medicine; Test (biology); Quartile; Statistics; Sports science; Statistical significance; Ranking (information retrieval); Protocol (science); Analysis of variance; Psychology; Applied psychology; Statistical hypothesis testing; Computer science; Physical therapy; Medicine; Mathematics; Confidence interval; Information retrieval; Alternative medicine; Biology; Pathology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6316587,0.002058537,0.004600687,0.009668235,0.001916596,0.006713637,0.005480732,0.004654189,0.005289271],"category_scores_gemma":[0.8188352,0.001765308,0.007820561,0.006989821,0.00972061,0.008150977,0.007289115,0.003691489,0.001401935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002641425,"about_ca_system_score_gemma":0.005170479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128945,"about_ca_topic_score_gemma":0.00107399,"domain_scores_codex":[0.3545295,0.4600439,0.08273415,0.03169177,0.0686278,0.002372843],"domain_scores_gemma":[0.101123,0.6814499,0.05717778,0.1186557,0.04010843,0.001485207],"domain_codex":"methods","domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01084579,0.001108311,0.3401301,0.08483972,0.05019382,0.002724588,0.05566015,0.01239744,0.01476961,0.07682265,0.01414513,0.3363627],"study_design_scores_gemma":[0.005132873,0.01539189,0.393883,0.06174797,0.03907445,0.004514602,0.0143282,0.04504626,0.02219733,0.2454465,0.1516357,0.001601084],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.208774,0.05751737,0.6335447,0.008667758,0.00723626,0.05026249,0.0057187,0.0009311673,0.02734754],"genre_scores_gemma":[0.7576288,0.003611996,0.1872576,0.001574661,0.0008636023,0.04464433,0.002490572,0.0003278518,0.001600589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3683413,"threshold_uncertainty_score":0.4542305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.635382913567893,"score_gpt":0.5967340271389352,"score_spread":0.03864888642895781,"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."}}