{"id":"W4409100667","doi":"10.20944/preprints202504.0099.v1","title":"In-Group Nutrition Interventions with Elite Weight-Sensitive Athletes Are Associated with an Increase in Nutrition Knowledge and Intake of Carbohydrate-Rich Foods, but Not a 400+ Increase in Daily Caloric Intake","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Caloric intake; Elite; Athletes; Psychological intervention; Caloric theory; Medicine; Food intake; Sports nutrition; Carbohydrate; Body weight; Environmental health; Food science; Physical therapy; Gerontology; Biology; Internal medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196768,0.0007319615,0.001286909,0.000504279,0.0008510522,0.0004642146,0.000609521,0.001037532,0.006293545],"category_scores_gemma":[0.00280781,0.0003843298,0.0005863117,0.0003989723,0.0004520669,0.0003535638,0.0006248808,0.0008553031,0.0003133263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008385378,"about_ca_system_score_gemma":0.001790218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061223,"about_ca_topic_score_gemma":0.01835609,"domain_scores_codex":[0.9990228,0.0004186713,0.00008808158,0.0001343535,0.0001779097,0.0001581286],"domain_scores_gemma":[0.998744,0.0003163425,0.0003078094,0.00005195611,0.00008441105,0.0004954697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.3722613,0.3682844,0.006496079,0.005040259,0.001831382,0.0001081628,0.0009555199,0.0005255728,0.01493593,0.0001160275,0.001279813,0.2281657],"study_design_scores_gemma":[0.2678828,0.5883579,0.1314278,0.0006983873,0.002088902,0.00008833256,0.0004087689,0.0008488765,0.005533771,0.0001862403,0.002429743,0.00004850784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960983,0.0003885959,0.0001788693,0.0001430223,0.0000620054,0.002164395,0.00007824333,0.00002801434,0.0008586079],"genre_scores_gemma":[0.9892865,0.001233713,0.003592291,0.0002924848,0.0001826081,0.003540511,0.0002014732,0.000008390916,0.001662114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061223,"threshold_uncertainty_score":0.02110088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03421677870158101,"score_gpt":0.2943495119490699,"score_spread":0.2601327332474889,"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."}}