{"id":"W2025533479","doi":"10.1136/bmj.c208","title":"Prophylaxis with systemic antibiotics in patients with severe burns","year":2010,"lang":"en","type":"letter","venue":"BMJ","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal General Hospital","funders":"","keywords":"Cluster analysis; Computer science; Computational biology; Similarity (geometry); Metric (unit); Benchmark (surveying); Data mining; Dimensionality reduction; Inference; Artificial intelligence; Bioinformatics; Biology","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00008691101,0.000443295,0.0006932146,0.0003864556,0.00003273043,0.00002280983,0.0001386765,0.001252551,0.00006455882],"category_scores_gemma":[0.0008691903,0.0002952402,0.00007622879,0.0003022726,0.0002432631,0.0000465523,0.00003834236,0.004415725,0.00009617559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147148,"about_ca_system_score_gemma":0.0003702623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005330109,"about_ca_topic_score_gemma":0.00004968465,"domain_scores_codex":[0.9979182,0.0000736848,0.0003380626,0.0005040524,0.0007089574,0.000457048],"domain_scores_gemma":[0.9921994,0.00007391363,0.0002642955,0.0005663142,0.006831068,0.00006506275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006562016,0.00009174247,0.2985547,0.001333642,0.0002064761,0.002445483,0.0001683552,8.412022e-7,0.00001830691,0.000001986849,0.6961904,0.0003318776],"study_design_scores_gemma":[0.03548337,0.01884037,0.5130438,0.04378084,0.001906211,0.003556696,0.003426348,0.00001722877,0.0004293556,0.00002050689,0.3748455,0.004649867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.679842,0.00006521894,0.00007697971,0.2945795,0.0008874836,0.008457992,0.0002968777,0.0001360347,0.01565791],"genre_scores_gemma":[0.4081472,0.000002670693,0.0003231781,0.5864975,0.0008757129,0.00001428822,0.001351816,0.0001566379,0.002631045],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.321345,"threshold_uncertainty_score":0.99995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007536296508912299,"score_gpt":0.2338243780183534,"score_spread":0.2262880815094411,"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."}}