{"id":"W2892684886","doi":"10.1123/ijsnem.2018-0289","title":"Toward a Common Understanding of Diet–Exercise Strategies to Manipulate Fuel Availability for Training and Competition Preparation in Endurance Sport","year":2018,"lang":"en","type":"article","venue":"International Journal of Sport Nutrition and Exercise Metabolism","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sport Centre Pacific; University of Victoria","funders":"","keywords":"Terminology; Confusion; Competition (biology); Variety (cybernetics); Sports nutrition; Psychology; Medicine; Physical therapy; Computer science; Biology; Athletes","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":[0.01776275,0.00194096,0.002781836,0.005635463,0.003715748,0.01026871,0.005968052,0.006575176,0.001955814],"category_scores_gemma":[0.007860216,0.0007682409,0.001323145,0.003470455,0.05035077,0.01739696,0.005348829,0.02033675,0.0008325402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005972432,"about_ca_system_score_gemma":0.00760253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002986028,"about_ca_topic_score_gemma":0.003340126,"domain_scores_codex":[0.9940984,0.002726001,0.0008533506,0.00110613,0.0009756626,0.0002404868],"domain_scores_gemma":[0.9932866,0.003612679,0.00069452,0.0007576892,0.001241117,0.0004074135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001277133,0.0001339467,0.0008364613,0.002660873,0.00007828584,0.0002465353,0.01434119,0.0007241993,0.001905291,0.9045793,0.006534811,0.06783149],"study_design_scores_gemma":[0.00003335914,0.0001929539,0.00222809,0.003552316,0.00007785534,0.0005088372,0.007374224,0.0009810203,0.001008425,0.810923,0.173018,0.000101884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01470629,0.3483203,0.2433327,0.3314073,0.01010455,0.0003829596,0.0002724719,0.000349569,0.05112381],"genre_scores_gemma":[0.1713406,0.3716621,0.3202049,0.1156264,0.009360211,0.002106007,0.0003042626,0.0004191108,0.008976398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01776275,"threshold_uncertainty_score":0.09393954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04358982173612209,"score_gpt":0.3094870786417987,"score_spread":0.2658972569056766,"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."}}