{"id":"W4389564977","doi":"10.1590/1517-8692202430022023_0231p","title":"DESENVOLVIMENTO E VALIDAÇÃO DE EQUAÇÕES PARA PREDIÇÃO DA COMPOSIÇÃO CORPORAL EM IDOSAS","year":2023,"lang":"pt","type":"article","venue":"Revista Brasileira de Medicina do Esporte","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Mathematics; Medicine; Humanities; Demography; Physics; Philosophy; Sociology","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":[0.02614594,0.001095173,0.001200119,0.003092916,0.0007451146,0.001856644,0.001037651,0.0009082503,0.002937682],"category_scores_gemma":[0.04687447,0.0004607517,0.00178955,0.002670075,0.001076675,0.0009189025,0.001137486,0.0006166665,0.0005536379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008141382,"about_ca_system_score_gemma":0.001254947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0035368,"about_ca_topic_score_gemma":0.00495016,"domain_scores_codex":[0.9859826,0.008201011,0.001195497,0.001496063,0.002858532,0.0002662823],"domain_scores_gemma":[0.9545472,0.0315589,0.005653077,0.002465874,0.005284047,0.0004909158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001323047,0.0001955298,0.9382707,0.0009739124,0.0010964,0.00006833788,0.001466887,0.0006822594,0.001853215,0.0003592986,0.0004018128,0.05330846],"study_design_scores_gemma":[0.00008074728,0.003003277,0.9800735,0.0008186555,0.001258477,0.0005362344,0.002129899,0.003630296,0.002565811,0.001128098,0.004719171,0.00005583128],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965384,0.01077781,0.01521815,0.0003805563,0.0001652608,0.0003586357,0.001727595,0.00009238607,0.005895572],"genre_scores_gemma":[0.9804007,0.001118187,0.01597068,0.00009525777,0.00006455755,0.0005050283,0.0005414023,0.00003343996,0.00127074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02614594,"threshold_uncertainty_score":0.1382747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09418897510837673,"score_gpt":0.3548344994965419,"score_spread":0.2606455243881651,"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."}}