{"id":"W2601526129","doi":"10.31910/rdafd.v2.n1.2016.325","title":"CARACTERIZACIÓN DE LA COMPOSICIÓN CORPORAL, EL PERFIL DERMATOGLÍFICO, EL CONSUMO MÁXIMO DE OXÍGENO (VO2 MÁX.) Y LA FUERZA PRENSIL EN LA SELECCIÓN BOGOTÁ DE TRIATLÓN","year":2018,"lang":"es","type":"article","venue":"Revista digital Actividad Física y Deporte","topic":"Body Composition Measurement Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art; Physics","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002986905,0.001565385,0.002290134,0.0005825444,0.000549452,0.003109684,0.001011391,0.001294226,0.0001715851],"category_scores_gemma":[0.001596428,0.001636367,0.0008731458,0.000935781,0.001847929,0.001452799,0.0005051504,0.00206979,0.0002628167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565147,"about_ca_system_score_gemma":0.002932962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001330354,"about_ca_topic_score_gemma":0.000005549714,"domain_scores_codex":[0.9904654,0.00227289,0.002052607,0.001612439,0.001551808,0.002044854],"domain_scores_gemma":[0.9920501,0.002178387,0.001731846,0.001762312,0.0009135861,0.001363774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002511402,0.005233393,0.3545932,0.002951204,0.002449558,0.005035077,0.001881621,0.000003098807,0.5373594,0.0129303,0.0289803,0.04607149],"study_design_scores_gemma":[0.007407963,0.002284487,0.3465089,0.007850047,0.003172992,0.01772977,0.0003813031,0.001266124,0.1311693,0.001527449,0.4769166,0.003785044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307278,0.001827721,0.007019743,0.001269945,0.0002340421,0.002253715,0.000728262,0.0015549,0.05438383],"genre_scores_gemma":[0.9916912,0.001354213,0.002955033,0.0009322605,0.001538764,0.0002103534,0.0004467937,0.0004379801,0.0004333783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4479363,"threshold_uncertainty_score":0.9997094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099374254327533,"score_gpt":0.3074615055050082,"score_spread":0.2964677629617329,"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."}}