{"id":"W2077400345","doi":"10.1177/1089253207311685","title":"A Proposed Algorithm for the Intraoperative Use of Cerebral Near-Infrared Spectroscopy","year":2007,"lang":"en","type":"article","venue":"Seminars in Cardiothoracic and Vascular Anesthesia","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":326,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Montreal Heart Institute","funders":"","keywords":"Medicine; Cerebral perfusion pressure; Oxygen; Perfusion; Oxygen delivery; Nasal cannula; Cerebral blood volume; Cannula; Near-infrared spectroscopy; Cerebral blood flow; Anesthesia; Biomedical engineering; Algorithm; Cardiology; Surgery; Computer science; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.001107302,0.0001984493,0.000524374,0.00009301752,0.0001104847,0.00006029255,0.00008622976,0.0001326579,0.000006676557],"category_scores_gemma":[0.000114889,0.0001348751,0.000241227,0.000257384,0.000340107,0.0001096086,0.00002084512,0.0002654703,8.580637e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006923867,"about_ca_system_score_gemma":0.00008599533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005773729,"about_ca_topic_score_gemma":0.000002394078,"domain_scores_codex":[0.9987031,0.00006344325,0.0003160523,0.000305226,0.0002536994,0.0003585312],"domain_scores_gemma":[0.9990569,0.0002850943,0.0000576577,0.0003797901,0.0001201068,0.0001004077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002839811,0.001275392,0.193047,0.001155055,0.00182279,0.001408869,0.009417351,0.0000405033,0.04291996,0.005276765,0.005127245,0.7356693],"study_design_scores_gemma":[0.005871444,0.00519062,0.1461863,0.002380311,0.002122325,0.002854403,0.003389114,0.07261097,0.6880046,0.001561712,0.06832119,0.001506971],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5892386,0.004579084,0.4017626,0.001037448,0.00006042924,0.002610997,0.000008434406,0.0001511594,0.0005511758],"genre_scores_gemma":[0.3273288,0.001118762,0.670315,0.00043443,0.0001515625,0.00005563124,0.00001678287,0.00006146225,0.0005176265],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7341623,"threshold_uncertainty_score":0.5500046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155047529492503,"score_gpt":0.3128010373104725,"score_spread":0.2972962843612222,"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."}}