{"id":"W2106512085","doi":"10.1186/s13054-014-0628-4","title":"Sleep continuity: a new metric to quantify disrupted hypnograms in non-sedated intensive care unit patients","year":2014,"lang":"en","type":"article","venue":"Critical Care","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Centre Hospitalier Universitaire de Poitiers; Assistance publique-Hôpitaux de Paris","keywords":"Medicine; Intensive care unit; Metric (unit); Sleep (system call); Emergency medicine; Intensive care medicine; Medical emergency; Operations management","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","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009192179,0.0003925152,0.0007493704,0.0008008982,0.00008643483,0.00006102844,0.000205482,0.0002700463,0.0001127191],"category_scores_gemma":[0.08731608,0.000377016,0.0002117033,0.001721877,0.0002319942,0.0001008761,0.0001775088,0.0006346891,0.0003127636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510891,"about_ca_system_score_gemma":0.0001066725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005156117,"about_ca_topic_score_gemma":0.0004327104,"domain_scores_codex":[0.9973695,0.0001602943,0.0004759965,0.0006739044,0.0005440306,0.000776243],"domain_scores_gemma":[0.9470039,0.0005541965,0.00004257438,0.0004618642,0.05123013,0.000707325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001574168,0.0003029933,0.7625566,0.001157149,0.0001302879,0.0004509105,0.0280757,0.000005973065,0.0006950371,0.001744086,0.006996524,0.1963105],"study_design_scores_gemma":[0.008828846,0.003228085,0.6357527,0.001111248,0.0005102755,0.00001540668,0.3387918,0.0002422027,0.002432074,0.0001139062,0.008080348,0.0008930364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827436,0.0003883664,0.002555534,0.003270781,0.000736575,0.00150103,0.0001389776,0.0001385258,0.008526652],"genre_scores_gemma":[0.9521158,0.00000204525,0.0003008079,0.04632615,0.0001095618,0.00004467381,0.0009669378,0.00007392227,0.0000600936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3107161,"threshold_uncertainty_score":0.9998682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02499014836521334,"score_gpt":0.3380663714441007,"score_spread":0.3130762230788873,"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."}}