{"id":"W3097019881","doi":"10.33262/concienciadigital.v3i3.1.1380","title":"Automatización del diagnóstico de índice de masa corporal (IMC) y sus factores de riesgo para la salud. Evaluación antropométrica en universitarios","year":2020,"lang":"es","type":"article","venue":"ConcienciaDigital","topic":"Health and Lifestyle Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Medicine; Gynecology; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001731119,0.000723532,0.001110595,0.0002617135,0.00180891,0.0001859692,0.0009508423,0.0008201567,0.0003748128],"category_scores_gemma":[0.009312715,0.0007310577,0.0003014799,0.00103252,0.000907633,0.0007075577,0.0006613296,0.001735799,0.0008343544],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002201806,"about_ca_system_score_gemma":0.01347305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001742915,"about_ca_topic_score_gemma":0.0001349016,"domain_scores_codex":[0.9921116,0.002064446,0.001085404,0.0009198877,0.0008689314,0.002949767],"domain_scores_gemma":[0.9906471,0.005133918,0.0006285717,0.0004890338,0.0004085531,0.002692763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003438977,0.000214658,0.9115734,0.001171204,0.0001836269,0.001042057,0.04232777,0.00008444132,0.0002948919,0.003514112,0.03561351,0.003636413],"study_design_scores_gemma":[0.00282705,0.0009901038,0.8994799,0.0004374505,0.0003381734,0.00008062859,0.02363923,0.01183284,0.00009114289,0.0004123858,0.05889645,0.0009746539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743327,0.001931496,0.003279918,0.005502166,0.0005463503,0.001423661,0.001135725,0.0005696758,0.01127834],"genre_scores_gemma":[0.9889954,0.0006900948,0.00146268,0.00684958,0.001325467,0.0000652357,0.00007420206,0.00009699955,0.0004403625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02328294,"threshold_uncertainty_score":0.9999436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05846934650785832,"score_gpt":0.3965034157051838,"score_spread":0.3380340691973255,"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."}}