{"id":"W2321681549","doi":"10.1097/mlr.0b013e318245a754","title":"The Accuracy of Administrative Data for Identifying the Presence and Timing of Admission to Intensive Care Units in a Canadian Province","year":2012,"lang":"en","type":"article","venue":"Medical Care","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Manitoba; Manitoba Health","funders":"","keywords":"Medicine; Intensive care; Intensive care unit; Emergency medicine; Critically ill; Coding (social sciences); MEDLINE; Medical emergency; Intensive care medicine; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003166976,0.00007330508,0.0001643337,0.00003425577,0.0001333911,0.000003879412,0.0002442593,0.00004770947,0.00001145478],"category_scores_gemma":[0.02622897,0.00003846422,0.00001732208,0.0001654605,0.0001493658,0.00006811736,0.0002147527,0.0001426951,2.032178e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004036021,"about_ca_system_score_gemma":0.0009753917,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01390452,"about_ca_topic_score_gemma":0.2105778,"domain_scores_codex":[0.9991239,0.00004443458,0.0002039154,0.0001313902,0.0002622563,0.0002341163],"domain_scores_gemma":[0.9978667,0.0006495001,0.00005910604,0.000296099,0.0008511277,0.0002774453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005816389,0.0000326418,0.1841914,0.003910215,0.000210219,0.00007133562,0.5807322,8.026275e-7,0.0007475977,0.0009651395,0.06450381,0.1640531],"study_design_scores_gemma":[0.0005933572,0.0003377068,0.03864661,0.002279585,0.0001270933,0.00001563507,0.8757308,0.0001258229,0.003244563,0.00001378067,0.07876223,0.0001228781],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9268755,0.05424555,0.00006161722,0.01475852,0.0005123036,0.001950035,0.0005658955,0.000008357306,0.001022188],"genre_scores_gemma":[0.9990595,0.0002850875,0.00005248953,0.0004024526,0.00008048364,0.00002808023,0.00005825995,0.000005465139,0.00002816763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2949986,"threshold_uncertainty_score":0.992662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1765894858812526,"score_gpt":0.4361979674244764,"score_spread":0.2596084815432237,"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."}}