{"id":"W4409250259","doi":"10.52888/0514-2515-2025-364-1-95-100","title":"Cellular technologies in the management of patients with post-burn scars of various locations","year":2025,"lang":"en","type":"article","venue":"Health care of Tajikistan","topic":"Dermatologic Treatments and Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scars; Medicine; Business; Dermatology; 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001127772,0.0000704612,0.0002532825,0.0001948636,0.00003862111,0.000002150794,0.0001398386,0.0000437735,0.000003828919],"category_scores_gemma":[0.000009412967,0.0000391228,0.0000325244,0.0004125228,0.0001602909,0.00001239825,0.00004554605,0.00009331523,3.992861e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001015292,"about_ca_system_score_gemma":0.000200359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003362323,"about_ca_topic_score_gemma":0.00008555823,"domain_scores_codex":[0.9991022,0.00003808298,0.0003059174,0.0001165426,0.0002829856,0.0001542495],"domain_scores_gemma":[0.999209,0.00003142842,0.0001211041,0.0003734833,0.0002469938,0.00001791819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001029629,0.003547125,0.7879684,0.02056669,0.0006567779,0.0001410591,0.006986331,0.00003654542,0.00005266063,0.03634765,0.001615339,0.1410518],"study_design_scores_gemma":[0.00423031,0.001928626,0.9191924,0.002043646,0.0001368219,0.000004074374,0.06726484,0.000006307624,0.001258583,0.000259733,0.003585112,0.00008954165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831263,0.004099152,0.0001261237,0.0053057,0.0000367697,0.001480491,0.00006797416,0.00002280368,0.005734647],"genre_scores_gemma":[0.9985192,0.0001844025,0.00104459,0.00007713659,7.516705e-7,0.00002922057,0.00005389748,0.000004114363,0.00008662393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1409623,"threshold_uncertainty_score":0.1595381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00850390109578061,"score_gpt":0.3128766957167632,"score_spread":0.3043727946209826,"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."}}