{"id":"W4380423150","doi":"10.1111/pan.14707","title":"Taking a byte out of <scp>APRICOT</scp> to predict which children are at low risk for critical perioperative events","year":2023,"lang":"en","type":"letter","venue":"Pediatric Anesthesia","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Perioperative; Intensive care medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007503722,0.0002877262,0.0004041683,0.0005202809,0.001527859,0.0009891833,0.0005661411,0.007447555,0.006993264],"category_scores_gemma":[0.01131205,0.0002315102,0.0005514449,0.0003738202,0.0007510601,0.001538591,0.0004048223,0.009111501,0.003756218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521033,"about_ca_system_score_gemma":0.002029082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007256214,"about_ca_topic_score_gemma":0.01410452,"domain_scores_codex":[0.9992024,0.0002335314,0.0001566324,0.00008698126,0.0001904002,0.0001300564],"domain_scores_gemma":[0.9958468,0.00201942,0.0003584226,0.0001217765,0.0008108364,0.0008428239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001643878,0.0002006651,0.08448434,0.0001256363,0.00004451079,0.047833,0.0005745922,0.0002547504,0.001175428,0.002758365,0.8085015,0.05388287],"study_design_scores_gemma":[0.0003217802,0.0007642116,0.1127349,0.003555709,0.0001808313,0.3305528,0.006486327,0.004190223,0.002968842,0.03013048,0.5078351,0.0002786978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.02575252,0.002721697,0.0005118953,0.9345613,0.009876967,0.00003543167,0.0002642576,0.00008295535,0.02619291],"genre_scores_gemma":[0.2129106,0.006383853,0.002236678,0.7337739,0.03127395,0.00006916702,0.0003019878,0.0001133833,0.01293645],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.007447555,"threshold_uncertainty_score":0.02339482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677970911434793,"score_gpt":0.2779195177549175,"score_spread":0.2611398086405695,"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."}}