{"id":"W2931066155","doi":"10.1123/ijsnem.2018-0273","title":"SPRINTING. . . Dietary Approaches to Optimize Training Adaptation and Performance","year":2019,"lang":"en","type":"review","venue":"International Journal of Sport Nutrition and Exercise Metabolism","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athletics Canada","funders":"","keywords":"Sprint; Athletes; Anaerobic exercise; Track and field athletics; Animal science; Physical therapy; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003486975,0.0003793187,0.0003444689,0.0004759666,0.0003849724,0.0005082539,0.0003909052,0.0005130449,0.009647287],"category_scores_gemma":[0.0001943352,0.0001007745,0.0002753697,0.0003971821,0.0001758297,0.0003169484,0.000518933,0.0007105671,0.004263756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002084984,"about_ca_system_score_gemma":0.0004473641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002050339,"about_ca_topic_score_gemma":0.006274818,"domain_scores_codex":[0.9998872,0.00002031622,0.00001046999,0.00002075167,0.00004498003,0.0000162671],"domain_scores_gemma":[0.9999368,0.000005909663,0.00001834679,0.000005167947,0.00001905802,0.00001465278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008453054,0.001589064,0.002465249,0.004603917,0.0001512639,0.0001527285,0.0003001838,0.0003128148,0.04723496,0.002995816,0.02267502,0.9166735],"study_design_scores_gemma":[0.0005702547,0.005680656,0.0464975,0.003004356,0.0003352431,0.0008768928,0.000517456,0.0008232202,0.02177968,0.005693415,0.9141399,0.0000813837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.3503222,0.257991,0.05484592,0.03819571,0.006488829,0.002097346,0.008471172,0.003307031,0.2782808],"genre_scores_gemma":[0.4241559,0.1807429,0.1456195,0.01454286,0.001827387,0.00153732,0.004175636,0.000452446,0.2269461],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009647287,"threshold_uncertainty_score":0.03227335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1489668115268919,"score_gpt":0.2994547979151463,"score_spread":0.1504879863882544,"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."}}