{"id":"W2339338165","doi":"10.1007/s00134-016-4331-6","title":"Personalized medicine for ARDS: the 2035 research agenda","year":2016,"lang":"en","type":"article","venue":"Intensive Care Medicine","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research","keywords":"ARDS; Medicine; Scope (computer science); Intensive care medicine; Pain medicine; Anesthesiology; Clinical trial; Personalized medicine; Acute respiratory distress; Bioinformatics; Pathology; Lung","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03725572,0.001792106,0.006460042,0.002865207,0.00206979,0.01258708,0.004199214,0.02064193,0.03648517],"category_scores_gemma":[0.03603613,0.0009823893,0.004579438,0.003247133,0.008253179,0.01971272,0.007555335,0.018206,0.006392802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008213289,"about_ca_system_score_gemma":0.02421012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003526035,"about_ca_topic_score_gemma":0.0060519,"domain_scores_codex":[0.9887631,0.006287748,0.0008638874,0.0009628651,0.001956018,0.001166344],"domain_scores_gemma":[0.9011926,0.06896586,0.004295584,0.00296425,0.01273082,0.009850806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001434901,0.0007738294,0.005330001,0.01057818,0.001056869,0.0005390011,0.0004636187,0.002420506,0.0014889,0.1771317,0.3037511,0.4950313],"study_design_scores_gemma":[0.0006276764,0.0009875047,0.007171326,0.02326054,0.001055473,0.0006425914,0.001918874,0.003073344,0.0006219036,0.2900911,0.6702883,0.0002612633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001191759,0.3951923,0.004132919,0.5832227,0.008728355,0.00005616135,0.0004723051,0.0001628402,0.006840786],"genre_scores_gemma":[0.03263898,0.636553,0.01852393,0.253565,0.05364726,0.0003277193,0.001426131,0.0001094887,0.003208419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03725572,"threshold_uncertainty_score":0.1970294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1908423938913655,"score_gpt":0.4394584595798658,"score_spread":0.2486160656885004,"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."}}