{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.007116762,0.001502418,0.002501402,0.001322652,0.0005901079,0.0005888609,0.001318258,0.0008847064,0.001698098],"category_scores_gemma":[0.0008286149,0.001510113,0.0008017919,0.002817879,0.0006812019,0.0004335742,0.0004495576,0.00189177,0.001268256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001940359,"about_ca_system_score_gemma":0.001610762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002236547,"about_ca_topic_score_gemma":0.0000301488,"domain_scores_codex":[0.9886019,0.001145379,0.002577515,0.001807086,0.003149159,0.002718938],"domain_scores_gemma":[0.9928222,0.0006252109,0.001378051,0.002465538,0.0006692754,0.002039681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001070764,0.0009622696,0.7559688,0.003509243,0.001003435,0.005851929,0.005802044,0.00002733533,0.06358603,0.002981584,0.1541248,0.005111733],"study_design_scores_gemma":[0.009490955,0.00419436,0.9013197,0.02050534,0.005346945,0.001540261,0.008024399,0.00935333,0.01279763,0.0004939902,0.02380072,0.00313233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669967,0.008926541,0.01157231,0.001571118,0.001265966,0.004370913,0.0002688671,0.003492658,0.001534895],"genre_scores_gemma":[0.9849371,0.001051988,0.001978622,0.002252989,0.001903087,0.000322937,0.001119814,0.0004046583,0.00602886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1453509,"threshold_uncertainty_score":0.9997725,"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."}}