{"id":"W1025376619","doi":"10.1155/2015/581504","title":"Use of Electronic Data and Existing Screening Tools to Identify Clinically Significant Obstructive Sleep Apnea","year":2015,"lang":"en","type":"article","venue":"Canadian Respiratory Journal","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Obstructive sleep apnea; Retrospective cohort study; Sleep apnea; Cohort; Polysomnography; Diagnosis code; Respiratory disturbance index; Physical therapy; Apnea; Algorithm; Pediatrics; Internal medicine; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008845059,0.0004428586,0.0004438053,0.002152655,0.0003130337,0.00124403,0.0008818116,0.0007349604,0.001317552],"category_scores_gemma":[0.03875195,0.0002724357,0.0003775013,0.002132983,0.0006449448,0.0008294802,0.0008875905,0.0005467586,0.000212208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009794198,"about_ca_system_score_gemma":0.001254317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01793858,"about_ca_topic_score_gemma":0.02026394,"domain_scores_codex":[0.991432,0.003361234,0.0009815961,0.0008647236,0.00298384,0.0003766801],"domain_scores_gemma":[0.9679369,0.01717833,0.008746774,0.00190206,0.003524286,0.0007115899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002273891,0.0001216966,0.9883123,0.00004930233,0.00008001047,0.00004257282,0.00008204279,0.0001271847,0.0001223534,0.00002924168,0.0001023263,0.01070355],"study_design_scores_gemma":[0.00006832185,0.0005204197,0.9958317,0.00008777913,0.0001001921,0.0002991253,0.0001877491,0.002039267,0.0003474713,0.00005417785,0.0004490069,0.00001480987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944485,0.001445539,0.001017254,0.0002088408,0.00002871477,0.0001462069,0.001011549,0.00002361315,0.001669696],"genre_scores_gemma":[0.9968823,0.0002997175,0.001743652,0.00009090159,0.0000228989,0.00005762978,0.0007197865,0.000002907356,0.0001803203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01793858,"threshold_uncertainty_score":0.04677773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2546436620703414,"score_gpt":0.4050691381847465,"score_spread":0.1504254761144051,"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."}}