{"id":"W4366783512","doi":"","title":"Aplicaciones de la dermis artificial para la prevención y tratamiento de cicatrices hipertróficas y contracturas Artificial dermis aplications to prevent and treat hypertrofyc scars and skin retractions","year":2012,"lang":"es","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Dermis; Scars; Anatomy; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006677732,0.0002540706,0.0003647867,0.0004283504,0.0003260837,0.0004314205,0.0001943474,0.0001986553,0.001485111],"category_scores_gemma":[0.001212378,0.0001414897,0.0003161893,0.0003228856,0.0002916738,0.0001893827,0.0004382396,0.0003403466,0.0001565889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00039586,"about_ca_system_score_gemma":0.0007481712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396337,"about_ca_topic_score_gemma":0.002429284,"domain_scores_codex":[0.9996811,0.00008323129,0.00003013432,0.0000445015,0.0001111343,0.00004988649],"domain_scores_gemma":[0.9993332,0.0002229529,0.0001699256,0.00003999431,0.00009546148,0.0001384938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008900947,0.005276053,0.2400967,0.002018193,0.0003529514,0.003622601,0.002850132,0.00161639,0.1400325,0.0003033722,0.001189171,0.593741],"study_design_scores_gemma":[0.001270179,0.06693015,0.828687,0.0005965851,0.00065168,0.01014187,0.005188459,0.002336324,0.06294984,0.0002991337,0.0208836,0.00006518745],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953565,0.003483074,0.0003462644,0.0000745705,0.00001157592,0.00008267311,0.00002792902,0.00001006004,0.0006072387],"genre_scores_gemma":[0.9948993,0.002757426,0.001162881,0.00006539353,0.00002154859,0.00006932036,0.00005866178,0.000002992457,0.0009623183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001485111,"threshold_uncertainty_score":0.004968166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2208393191961144,"score_gpt":0.5805881901981931,"score_spread":0.3597488710020787,"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."}}