{"id":"W2753984758","doi":"10.1016/j.appet.2017.09.011","title":"Optimal timing of exercise for influencing energy intake in children during school lunch","year":2017,"lang":"en","type":"article","venue":"Appetite","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Université de Montréal; Institut universitaire de cardiologie et de pneumologie de Québec; Centre Hospitalier Universitaire Sainte-Justine","funders":"Centre hospitalier universitaire Sainte-Justine","keywords":"Meal; Medicine; Food intake; Physical therapy; Demography; Animal science; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001054498,0.00008686654,0.0001284961,0.00005016821,0.00009738173,0.00002432902,0.0001951883,0.00008619588,0.000007558743],"category_scores_gemma":[0.00006908971,0.00009221023,0.00006020424,0.00002133298,0.00003752139,0.000009730762,0.0001053712,0.00003842872,0.000001201116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005825602,"about_ca_system_score_gemma":0.00002062816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001391429,"about_ca_topic_score_gemma":0.00002277674,"domain_scores_codex":[0.9994079,0.000009754298,0.000161654,0.0002002193,0.00005854511,0.0001619553],"domain_scores_gemma":[0.999463,0.000002753246,0.0001085631,0.0003436059,0.00003830871,0.00004381311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001871015,0.00004361814,0.06439151,0.0000956053,0.00002031669,5.681526e-7,0.00002495767,0.0001062389,0.9302223,0.00008041016,0.0001521299,0.004675201],"study_design_scores_gemma":[0.001396615,0.00003896524,0.329434,0.0002859317,0.00001174187,0.000004161802,0.00001472284,0.00006698107,0.6672884,0.00004017725,0.001280896,0.0001373904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983644,0.000776712,0.0003961078,0.00001944573,0.00005007023,0.0001311336,0.00001672172,0.000004101967,0.0002412947],"genre_scores_gemma":[0.9971705,0.0005931426,0.001795701,0.00001899747,0.0001884865,0.00003861801,0.00005675872,0.0000141599,0.0001236218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2650425,"threshold_uncertainty_score":0.3760224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007455239434775009,"score_gpt":0.2401461337340628,"score_spread":0.2326908942992879,"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."}}