{"id":"W4413815394","doi":"10.1056/aip2500154","title":"Energy Considerations for Scaling Artificial Intelligence Adoption in Medicine: First Do No Harm","year":2025,"lang":"en","type":"article","venue":"NEJM AI","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health; Public Health Ontario; University of Toronto","funders":"","keywords":"Harm; Do no harm; Scaling; Energy (signal processing); Computer science; Artificial intelligence; Psychology; Social psychology; Mathematics; Psychiatry; Statistics","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":[0.01491316,0.001071643,0.001156254,0.001941233,0.002582835,0.008733656,0.002584645,0.00949845,0.02609767],"category_scores_gemma":[0.07807539,0.0006150113,0.001601682,0.001224454,0.006897179,0.01550922,0.006363115,0.009071028,0.00449016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003435721,"about_ca_system_score_gemma":0.008553125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005081927,"about_ca_topic_score_gemma":0.006315526,"domain_scores_codex":[0.9885439,0.005620471,0.0004971189,0.0007212961,0.003710031,0.0009071288],"domain_scores_gemma":[0.9579985,0.02435852,0.001630806,0.004465042,0.009258764,0.002288514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004601833,0.0003465159,0.00274691,0.00101417,0.0003742745,0.0002956032,0.0005897448,0.01388452,0.002766794,0.6545333,0.1172541,0.2057337],"study_design_scores_gemma":[0.0001491167,0.0004894697,0.003572008,0.002097264,0.0001359946,0.0004484256,0.001614891,0.007342017,0.001727559,0.6736929,0.3085549,0.0001753735],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01235541,0.02585774,0.06573028,0.6880307,0.01135118,0.0002606613,0.0005011839,0.0005422063,0.1953706],"genre_scores_gemma":[0.6784683,0.02459899,0.08702333,0.1607306,0.01184933,0.0008849556,0.0003952927,0.0008583855,0.03519066],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02609767,"threshold_uncertainty_score":0.08730543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083559187372145,"score_gpt":0.3702471005966559,"score_spread":0.2618911818594414,"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."}}