{"id":"W2555467409","doi":"10.1249/fit.0b013e318201cfb7","title":"Glycemic Index and Athletic Performance","year":2011,"lang":"en","type":"article","venue":"ACSMʼs Health & Fitness Journal","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Journal of Communication (Canada); The Journal of Student Science and Technology","funders":"","keywords":"Glycemic index; Glycemic load; Glycemic; Medicine; Blood sugar; Carbohydrate; Food science; Animal science; Internal medicine; Diabetes mellitus; Endocrinology; Chemistry; Biology","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":[0.0003055115,0.0001163104,0.000149638,0.0000580843,0.0002404485,0.00002118217,0.0001303625,0.00009613277,0.00005235765],"category_scores_gemma":[0.00001931303,0.0001039557,0.00003837447,0.00006254261,0.00006837208,0.00001167967,0.00005018808,0.0001960381,0.00000635472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001163002,"about_ca_system_score_gemma":0.0001263375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002761407,"about_ca_topic_score_gemma":0.000009904028,"domain_scores_codex":[0.9990677,0.00006311124,0.0002591572,0.0001807855,0.0001201611,0.0003091245],"domain_scores_gemma":[0.9993902,0.000003799921,0.0001485876,0.0001651521,0.00007261698,0.0002195869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005436975,0.0006126101,0.2081286,0.0009666529,0.0001561693,0.000044616,0.002306072,0.00001499797,0.05045796,0.0006139725,0.01288714,0.7183743],"study_design_scores_gemma":[0.006937414,0.002591027,0.8424055,0.000263603,0.00003805791,0.002477569,0.0002554073,0.0001870192,0.01777526,0.001002177,0.1253789,0.0006880489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918315,0.006078667,0.0009971842,0.0002614449,0.000339175,0.00009517991,0.000004029875,0.000007060029,0.0003857745],"genre_scores_gemma":[0.986036,0.01191235,0.0005918732,0.0008828877,0.0004644672,0.000006497549,0.00001138937,0.00001564629,0.00007886015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7176862,"threshold_uncertainty_score":0.4239192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238993172778007,"score_gpt":0.2570836295831742,"score_spread":0.2331843123053735,"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."}}