{"id":"W2885430328","doi":"10.5027/jmh-vol10-issue1(2009)art37","title":"CUANTIFICACIÓN DE LA MASA MUSCULAR DE LOS MIEMBROS APENDICULARES, POR MEDIO ECUACIONES ANTROPOMÉTRICAS","year":2009,"lang":"es","type":"article","venue":"Journal of Movement & Health","topic":"Sports Performance and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Medicine; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007811539,0.0004249946,0.0003279005,0.002065666,0.0004194403,0.0005068763,0.0003149984,0.000290934,0.001696029],"category_scores_gemma":[0.001904469,0.0002548395,0.0002993171,0.001752022,0.0004842163,0.0002737864,0.0004963171,0.0002761395,0.000430855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000816935,"about_ca_system_score_gemma":0.0003663574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1184037,"about_ca_topic_score_gemma":0.2818645,"domain_scores_codex":[0.9997012,0.00004633249,0.00001615883,0.00009215757,0.0001126151,0.00003141208],"domain_scores_gemma":[0.9992512,0.0001716569,0.0001870452,0.00004035241,0.0003131231,0.00003657673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003865945,0.00003333094,0.792263,0.0003734269,0.0001608215,0.0002182103,0.001733341,0.0004279289,0.01355565,0.0004163026,0.001959872,0.1884715],"study_design_scores_gemma":[0.00000314355,0.00005259179,0.9912888,0.00004903828,0.00002669478,0.0001832319,0.0003327164,0.0001827738,0.001051755,0.0000487943,0.006772507,0.000007913645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748199,0.01019522,0.004445788,0.0002582772,0.00005788685,0.0000427622,0.001897417,0.0001078375,0.00817497],"genre_scores_gemma":[0.9787992,0.004793621,0.006530778,0.0001234529,0.00004164838,0.00004367539,0.001224828,0.00002966981,0.008413128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1184037,"threshold_uncertainty_score":0.235429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567421254234418,"score_gpt":0.3469089011855483,"score_spread":0.3312346886432041,"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."}}