{"id":"W2620445957","doi":"10.1186/s12871-017-0361-z","title":"Development and validation of a Score for Preoperative Prediction of Obstructive Sleep Apnea (SPOSA) and its perioperative outcomes","year":2017,"lang":"en","type":"article","venue":"BMC Anesthesiology","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"Massachusetts General Hospital","keywords":"Medicine; Obstructive sleep apnea; Polysomnography; Perioperative; Logistic regression; Internal medicine; Medical record; Sleep apnea; Anesthesiology; Population; Apnea; Surgery; Anesthesia","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":[0.000256799,0.0001548333,0.0004969251,0.0001161443,0.0002231403,0.0000131105,0.00009115617,0.0001348903,0.000012312],"category_scores_gemma":[0.0008998128,0.0001190449,0.00004236424,0.00003445033,0.0004506963,0.0001678059,0.00008281919,0.00008868497,8.71489e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003857705,"about_ca_system_score_gemma":0.00008743864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009313291,"about_ca_topic_score_gemma":0.00000994794,"domain_scores_codex":[0.9989371,0.00009000776,0.0003236762,0.0003211008,0.0001501084,0.0001780008],"domain_scores_gemma":[0.998752,0.0002220443,0.0002471738,0.0002243765,0.0004766859,0.00007773384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000743035,0.00006502956,0.9727776,0.0002928322,0.0001393731,0.000002856698,0.003714715,0.00000377972,0.01402993,0.002302487,6.867569e-7,0.005927681],"study_design_scores_gemma":[0.001827952,0.0007474022,0.8399236,0.00003327602,0.00006279006,0.00004214983,0.001031057,0.0009571578,0.1552036,0.000066919,0.00003261967,0.00007141219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976941,0.0001558863,0.0006013172,0.00008852723,0.00004988709,0.001262818,0.00003413039,0.00001008563,0.0001032881],"genre_scores_gemma":[0.9878179,0.000005315075,0.01186363,0.000012843,0.00002736576,0.000144768,0.00003016044,0.00001481748,0.00008322433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1411737,"threshold_uncertainty_score":0.4854512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06429609214269513,"score_gpt":0.3271055129565796,"score_spread":0.2628094208138845,"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."}}