{"id":"W4391117290","doi":"10.20463/pan.2023.0032","title":"Cranberry supplementation improves physiological markers of performance in trained runners","year":2023,"lang":"en","type":"article","venue":"Physical Activity and Nutrition","topic":"Exercise and Physiological Responses","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Time trial; Animal science; Running economy; Analysis of variance; Medicine; Chemistry; Internal medicine; VO2 max; Heart rate; Biology; Blood pressure","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":[0.00008146632,0.00008414109,0.0002499365,0.00007219638,0.00003289626,0.000003739142,0.00002400124,0.00004877074,0.00001151606],"category_scores_gemma":[0.00004966672,0.00006420726,0.00006343186,0.0002796991,0.00009581149,0.0001265015,0.00002000773,0.0001111332,0.000004951376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000148507,"about_ca_system_score_gemma":0.00001050684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001611556,"about_ca_topic_score_gemma":0.000001237152,"domain_scores_codex":[0.9994341,0.00004878663,0.00008982763,0.0001693693,0.000113205,0.0001447275],"domain_scores_gemma":[0.9996333,0.0002026566,0.00003569591,0.00006162131,0.00001944231,0.00004734357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.006080174,0.001102457,0.0005079978,0.0003510226,0.000010033,0.000003225034,0.0001592429,0.000002600731,0.9619239,0.0001309984,0.0000746436,0.02965372],"study_design_scores_gemma":[0.001625557,0.001787979,0.8710116,0.0001234435,0.00001865105,0.000001035511,0.0001641166,0.003573348,0.1199971,0.00153857,0.00007950346,0.00007915482],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988607,0.000009743717,0.000005474282,0.000603503,0.00001329438,0.0002817191,0.00001527366,0.00003386757,0.000176395],"genre_scores_gemma":[0.9992227,0.0004728149,0.00003677835,0.00003928733,0.00006765473,0.00006165369,0.00006401521,0.000004370118,0.00003074639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8705035,"threshold_uncertainty_score":0.2618296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0336664022157687,"score_gpt":0.3190730359820859,"score_spread":0.2854066337663172,"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."}}