{"id":"W4413594338","doi":"10.1177/20552076251364666","title":"The climate impacts of healthcare digitalization: A scoping review","year":2025,"lang":"en","type":"review","venue":"Digital Health","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Sigrid Juséliuksen Säätiö; Academy of Finland; European Commission","keywords":"Carbon footprint; Health care; Telemedicine; Health informatics; Political science; Greenhouse gas","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":[0.01381634,0.001647166,0.002656957,0.02009844,0.00163884,0.006507163,0.00164201,0.003466069,0.004780542],"category_scores_gemma":[0.05630299,0.001021737,0.004834546,0.01926216,0.001957808,0.005271148,0.003452613,0.002518011,0.0006979845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006222115,"about_ca_system_score_gemma":0.02032111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008578366,"about_ca_topic_score_gemma":0.01198735,"domain_scores_codex":[0.9898747,0.003884665,0.002668392,0.0007087661,0.002427803,0.0004357297],"domain_scores_gemma":[0.9423053,0.04522404,0.004857923,0.0008113302,0.006378327,0.0004231231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001116068,0.00007268633,0.001492707,0.6242556,0.001699028,0.0003279809,0.001929048,0.001420145,0.0003785357,0.01389968,0.01614652,0.3382664],"study_design_scores_gemma":[0.0000132329,0.00006503467,0.002167332,0.8682607,0.002439202,0.0003149213,0.001391985,0.0002046751,0.0002352397,0.003148443,0.1217202,0.0000391099],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006173585,0.9938898,0.0005459058,0.001753554,0.0005365008,0.0002229797,0.0002073416,0.000009116666,0.002217483],"genre_scores_gemma":[0.005125654,0.9930069,0.0005968297,0.0005208087,0.000183266,0.0002652947,0.0001308174,0.000004893622,0.0001654471],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02009844,"threshold_uncertainty_score":0.07306868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012105231044527,"score_gpt":0.445652061818177,"score_spread":0.3444415387137242,"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."}}