{"id":"W4200322834","doi":"10.1111/pan.14376","title":"Risk assessment and optimization strategies to reduce perioperative respiratory adverse events in Pediatric Anesthesia—Part 2: Anesthesia‐related risk and treatment options","year":2021,"lang":"en","type":"review","venue":"Pediatric Anesthesia","topic":"Airway Management and Intubation Techniques","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Perioperative; Adverse effect; Premedication; Anesthesia; Anesthetic; Intensive care medicine; Incidence (geometry); Psychological intervention; Psychiatry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001128809,0.0007809972,0.00136592,0.001997431,0.0002606281,0.0009699807,0.0008529832,0.0009653764,0.004541371],"category_scores_gemma":[0.003579,0.0002102294,0.001417869,0.001012301,0.0002984514,0.001073354,0.000513513,0.001547658,0.0006945467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005995221,"about_ca_system_score_gemma":0.001739489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292725,"about_ca_topic_score_gemma":0.002269336,"domain_scores_codex":[0.9994727,0.000165273,0.0001182959,0.0000559586,0.0001604003,0.00002737795],"domain_scores_gemma":[0.9987595,0.0008395143,0.0001817585,0.00001740888,0.00017024,0.00003149354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009878405,0.0001460688,0.0006866166,0.06443746,0.0004792108,0.0001507032,0.0001129132,0.0006783694,0.0006465347,0.003465906,0.01531027,0.9137871],"study_design_scores_gemma":[0.0001653704,0.000642386,0.008290862,0.131315,0.003263788,0.003007529,0.0003960008,0.001030371,0.001304008,0.006867757,0.843632,0.00008493732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002711562,0.9976871,0.0003506142,0.0006996603,0.0001329944,0.00002658341,0.0000401008,0.000008968296,0.0007827436],"genre_scores_gemma":[0.001980616,0.9966214,0.0007551187,0.0002543151,0.0001256762,0.00002955123,0.00003697827,0.00000178658,0.0001944539],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004541371,"threshold_uncertainty_score":0.01519239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03083838122920247,"score_gpt":0.3365861873673447,"score_spread":0.3057478061381422,"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."}}