{"id":"W1981245122","doi":"10.4321/s0376-78922012000100008","title":"Aplicaciones de la dermis artificial para la prevención y tratamiento de cicatrices hipertróficas y contracturas","year":2012,"lang":"es","type":"article","venue":"Cirugía Plástica Ibero-Latinoamericana","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","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"],"consensus_categories":[],"category_scores_codex":[0.001399625,0.0008729508,0.00128866,0.0003211782,0.0005801962,0.0002543056,0.0004129208,0.0006819176,0.0005167546],"category_scores_gemma":[0.001510038,0.0008004468,0.0004023152,0.0007816055,0.001103621,0.000275755,0.00009942382,0.001048506,0.0005964513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007521165,"about_ca_system_score_gemma":0.001042932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855789,"about_ca_topic_score_gemma":0.00001773021,"domain_scores_codex":[0.9937416,0.001289902,0.001101771,0.0008965788,0.0007900666,0.002180096],"domain_scores_gemma":[0.9919147,0.00454544,0.0006081534,0.0009842417,0.0001617676,0.001785703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001464963,0.009324133,0.7558014,0.001212146,0.002663327,0.001065791,0.0139133,0.000115842,0.02047735,0.02484587,0.007171138,0.1619447],"study_design_scores_gemma":[0.003210713,0.0008050215,0.9145585,0.0007761194,0.004782469,0.001296107,0.002703401,0.001764286,0.004698336,0.001570071,0.06230234,0.001532582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675276,0.006875125,0.003631711,0.00272771,0.0004053389,0.001122761,0.0002229724,0.0003557127,0.01713102],"genre_scores_gemma":[0.99136,0.0009016866,0.003751662,0.0009980515,0.001856276,0.0001990737,0.0001201925,0.0001607347,0.0006522867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1604121,"threshold_uncertainty_score":0.9994447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805593211262452,"score_gpt":0.354813297483497,"score_spread":0.3267573653708725,"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."}}