{"id":"W4414401679","doi":"10.1007/s10916-025-02259-z","title":"Integrating Pediatric Anesthesia Sustainability Metrics into Native Electronic Health Records: A Clinical Informatics Approach","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Health informatics; Sustainability; Electronic health record; Informatics; Electronic medical record; Medical record; Perioperative; Health care; Health information technology","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":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08052587,0.0001448639,0.0007570701,0.0007995011,0.0004000438,0.0001953324,0.001459196,0.0004824687,0.00001628403],"category_scores_gemma":[0.05347262,0.0001078881,0.0002419392,0.003014551,0.0004075632,0.0003124944,0.0001275882,0.002474712,0.000002323362],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002993418,"about_ca_system_score_gemma":0.01829681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002914735,"about_ca_topic_score_gemma":0.0001940255,"domain_scores_codex":[0.9884678,0.003841706,0.00281992,0.0001664227,0.003974443,0.0007297733],"domain_scores_gemma":[0.9922426,0.00357932,0.001445024,0.0002360612,0.001852211,0.0006447616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002408256,0.001829456,0.2237191,0.004987744,0.0003574425,0.0001715414,0.04115972,0.00005437942,1.475871e-7,0.2944099,0.1582052,0.2748646],"study_design_scores_gemma":[0.002743915,0.003081025,0.003994542,0.001318306,0.0001451532,0.000283991,0.4824834,0.02452264,0.000001780516,0.0368265,0.4439231,0.0006755838],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2585611,0.01573075,0.5779076,0.1254575,0.003142817,0.004328017,0.000001964898,0.0002832712,0.01458697],"genre_scores_gemma":[0.9913911,0.00344448,0.003229787,0.0004007942,0.001167715,0.00003215027,0.00000100883,0.00001198585,0.0003209357],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.73283,"threshold_uncertainty_score":0.9998266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0724349604272115,"score_gpt":0.5022493217986885,"score_spread":0.429814361371477,"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."}}