{"id":"W7055501550","doi":"","title":"Consumo de macronutrientes e composição corporal em futebolistas","year":2019,"lang":"pt","type":"other","venue":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Athletes; Consumption (sociology); Physical activity; Overweight; Anthropometry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005432785,0.0003335741,0.000375936,0.001005302,0.0004111553,0.0005987977,0.0001889855,0.0003024738,0.002884055],"category_scores_gemma":[0.000809992,0.0002118346,0.0003357361,0.00078409,0.0003320599,0.0003961497,0.0003096818,0.0003316196,0.0003415429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932271,"about_ca_system_score_gemma":0.0002839621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001799739,"about_ca_topic_score_gemma":0.00274047,"domain_scores_codex":[0.9997653,0.00005242185,0.00001683253,0.00004679625,0.00009139204,0.00002725623],"domain_scores_gemma":[0.9995073,0.0001418397,0.0001514395,0.00002799451,0.0001178362,0.00005358156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00950424,0.001036957,0.5460222,0.001434396,0.0003334996,0.0009276159,0.003413384,0.00027628,0.3232667,0.0003029456,0.0004129186,0.1130689],"study_design_scores_gemma":[0.00007875977,0.007285923,0.9477847,0.0001615317,0.0003455955,0.001014172,0.002301693,0.0003643201,0.03612403,0.0002372626,0.004270181,0.00003181912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970503,0.001537934,0.0002832365,0.00003459394,0.0000087567,0.00002186736,0.0001738046,0.000007189558,0.0008823326],"genre_scores_gemma":[0.9923404,0.001898253,0.001585943,0.00005381951,0.00001186557,0.00006455569,0.0002330307,0.0000105529,0.003801672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002884055,"threshold_uncertainty_score":0.009648144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07775109759637065,"score_gpt":0.3698674371821842,"score_spread":0.2921163395858135,"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."}}