{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008916323,0.0004462081,0.002027982,0.00007338455,0.0004707235,0.0001510163,0.000526985,0.0001508759,0.00008444046],"category_scores_gemma":[0.0004567914,0.0002892292,0.0003801257,0.001064955,0.0001618584,0.0003791134,0.0005020204,0.0002810578,0.0002400391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006643789,"about_ca_system_score_gemma":0.00113306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001607955,"about_ca_topic_score_gemma":0.0005612107,"domain_scores_codex":[0.9959256,0.0001815744,0.001827059,0.000486741,0.0005049494,0.001074044],"domain_scores_gemma":[0.9966397,0.0006623576,0.001378789,0.0007756435,0.00003097119,0.0005125759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000001619165,0.00001862944,0.00002978934,0.3757976,0.000004065765,0.000001153958,0.00002139791,5.391792e-8,3.165798e-10,0.00007872991,0.004971345,0.6190756],"study_design_scores_gemma":[0.00004367764,0.0001195926,0.00000617911,0.5370208,0.00002631792,0.00001349727,0.000009723732,3.406678e-7,1.651176e-8,0.00004786463,0.4625707,0.0001412946],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.671599e-7,0.9858881,0.000004705635,0.002317845,0.0002400065,0.003831271,0.0007526531,0.00005642401,0.006908687],"genre_scores_gemma":[0.000006499029,0.9969653,0.000009994025,0.002043518,0.00006321851,0.0001415419,0.0005761504,0.00004252193,0.0001512186],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6189343,"threshold_uncertainty_score":0.999956,"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."}}