{"id":"W4206853196","doi":"","title":"Impact of downhill running on body composition and energy expenditure","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Composition (language); Energy expenditure; Energy (signal processing); Computer science; Statistics; Medicine; Mathematics; Internal medicine","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":[0.0003606729,0.0009931769,0.001396594,0.0003647298,0.000754629,0.001260268,0.0003540745,0.0007982087,0.008364641],"category_scores_gemma":[0.001019267,0.000468479,0.0007634687,0.0004309548,0.0007397787,0.000464021,0.001309256,0.001060449,0.0008223166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004880192,"about_ca_system_score_gemma":0.0007817858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01106798,"about_ca_topic_score_gemma":0.008506359,"domain_scores_codex":[0.9996442,0.00007876562,0.00001438729,0.00006693739,0.00002317695,0.0001726056],"domain_scores_gemma":[0.9990465,0.0002690196,0.00006505929,0.0001087342,0.00007436519,0.0004364387],"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":[0.3941078,0.0111047,0.1138381,0.001417491,0.002718487,0.001531199,0.0009318581,0.006289521,0.404388,0.0007386165,0.001395359,0.0615389],"study_design_scores_gemma":[0.001498759,0.02352174,0.9448842,0.0001512223,0.001343391,0.0003843585,0.00097106,0.004334053,0.01948187,0.0008865717,0.002455211,0.0000876178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985636,0.0004010694,0.0001047525,0.00008354417,0.00004294899,0.00001564471,0.0002652156,0.00001544535,0.0005078461],"genre_scores_gemma":[0.9939941,0.0004672148,0.0002346349,0.000101146,0.00005848852,0.00006072779,0.0006418536,0.00003665344,0.004405184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01106798,"threshold_uncertainty_score":0.02798253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313506654260914,"score_gpt":0.2667755719427313,"score_spread":0.2536405054001221,"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."}}