{"id":"W4285608129","doi":"10.25270/wnds/21076","title":"Use of a Fluorescence Imaging Device to Detect Elevated Bacterial Loads, Enhance Antimicrobial Stewardship, and Increase Communication Across Inpatient Complex Wound Care Teams","year":2022,"lang":"en","type":"article","venue":"WOUNDS A Compendium of Clinical Research and Practice","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Antimicrobial; Fluorescence-lifetime imaging microscopy; Population; Antimicrobial stewardship; Antibiotics; Fluorescence; Intensive care medicine; Antibiotic resistance; Microbiology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005416317,0.0001879635,0.0006770514,0.0001630551,0.0007143715,0.0001363522,0.0002751126,0.00008311015,0.00007359753],"category_scores_gemma":[0.009201207,0.0001790129,0.00007845838,0.0005088989,0.0006316494,0.0003238157,0.001026197,0.001121173,0.000005647193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000157981,"about_ca_system_score_gemma":0.0005982647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007610767,"about_ca_topic_score_gemma":0.0003743024,"domain_scores_codex":[0.9943524,0.00261215,0.00104602,0.0005315794,0.0009575746,0.0005002695],"domain_scores_gemma":[0.9874187,0.009760052,0.0004567326,0.0007369579,0.001154459,0.0004731257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.2103986,0.01104136,0.281297,0.003304875,0.001378641,0.0005133745,0.02100616,0.00003892801,0.2599847,0.0005314578,0.005138993,0.2053659],"study_design_scores_gemma":[0.02654071,0.02903626,0.5997007,0.00225996,0.0008428227,0.001072676,0.02628061,0.001079416,0.02995658,0.0003713316,0.2815388,0.001320081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952987,0.0004517075,0.00002955567,0.002510395,0.0001059681,0.001055609,0.0002436104,0.00002187554,0.0002825742],"genre_scores_gemma":[0.9852758,0.0005713328,0.01333488,0.0003988002,0.000064234,0.00005098087,0.000222182,0.00002417668,0.00005763391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3184038,"threshold_uncertainty_score":0.9991447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1806057549292093,"score_gpt":0.504712118968221,"score_spread":0.3241063640390117,"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."}}