{"id":"W4411273223","doi":"10.1186/s40635-025-00766-4","title":"Advancing omics technologies in acute respiratory distress syndrome: paving the way for personalized medicine","year":2025,"lang":"en","type":"review","venue":"Intensive Care Medicine Experimental","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Instituto Nacional de Ciência e Tecnologia em Medicina Regenerativa; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Medicine; Acute respiratory distress; Omics; Personalized medicine; Intensive care medicine; Respiratory distress; Distress; Bioinformatics; Internal medicine; Lung; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005635921,0.001132508,0.004561326,0.00100587,0.0002395222,0.00001895271,0.0007371148,0.0007095098,0.0001217855],"category_scores_gemma":[0.003462516,0.0006470077,0.0007384462,0.0008101765,0.001294188,0.00009743747,0.0003721121,0.001221828,0.000008331335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001312138,"about_ca_system_score_gemma":0.0006697527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003971976,"about_ca_topic_score_gemma":0.00001318374,"domain_scores_codex":[0.9954357,0.0001709693,0.00164198,0.001180487,0.0007002237,0.0008706035],"domain_scores_gemma":[0.9957642,0.0009172317,0.0006488386,0.001150499,0.00131873,0.0002005331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006854442,0.0001384425,0.0001170088,0.04009055,0.001814077,0.005840853,0.01130705,2.276577e-7,0.003534719,0.001501225,0.05857985,0.8763906],"study_design_scores_gemma":[0.003131039,0.001902038,0.000002274049,0.06484394,0.001944187,0.0006828241,0.1885917,0.000001840168,0.000876446,0.0000213641,0.737559,0.0004434005],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003378672,0.9890601,0.0001822705,0.001703406,0.002519593,0.005273276,0.0001876628,0.0002651818,0.000470613],"genre_scores_gemma":[0.001254895,0.9881329,0.000208744,0.004261012,0.0005818651,0.002753281,0.001177465,0.0001906163,0.001439241],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8759472,"threshold_uncertainty_score":0.9995981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0402006284582445,"score_gpt":0.3878683001296312,"score_spread":0.3476676716713867,"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."}}