{"id":"W2768248785","doi":"10.5007/19800037.2017v19n4p436","title":"Clusters of negative health-related physical fitness indicators and associated factors in adolescents","year":2017,"lang":"en","type":"article","venue":"Brazilian Journal of Kinanthropometry and Human Performance","topic":"Physical Activity and Health","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physical fitness; Multinomial logistic regression; Logistic regression; Demography; Aerobic exercise; Fitness test; Test (biology); Psychology; Gerontology; Medicine; Physical therapy; Statistics; Mathematics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000373775,0.0001562535,0.0008294422,0.000384177,0.0004962013,0.00002450594,0.0001401122,0.00008754058,0.0000111176],"category_scores_gemma":[0.0001592549,0.0001221925,0.00007901893,0.0002093088,0.0008583848,0.0005150351,0.00006201243,0.0006160623,5.154191e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009029572,"about_ca_system_score_gemma":0.000124623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001160599,"about_ca_topic_score_gemma":0.00004037814,"domain_scores_codex":[0.9987073,0.00006815228,0.0005274508,0.0001561168,0.0002787644,0.000262203],"domain_scores_gemma":[0.9982808,0.00004448159,0.001176563,0.0001617196,0.00007154972,0.000264835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002714667,0.001274181,0.9867759,0.0006828551,0.00006296712,0.00001552603,0.002550661,0.000001617056,0.0003477487,0.00009724142,0.00002716944,0.007892681],"study_design_scores_gemma":[0.003025492,0.002587484,0.9892769,0.002409735,0.00003118999,0.00002463439,0.0004229883,0.0001200647,0.00183839,0.0001479998,0.00001110391,0.0001040453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989333,0.0001268218,0.00000220421,0.0005489932,0.0001034294,0.0001464504,0.00000709499,0.00000437366,0.0001273561],"genre_scores_gemma":[0.9995852,0.0002675257,0.00001153712,0.00003624881,0.00005906126,5.271391e-7,0.000001671442,0.00001146171,0.00002674111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007788636,"threshold_uncertainty_score":0.4982866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276364187553298,"score_gpt":0.341267406621405,"score_spread":0.3136309878660752,"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."}}