{"id":"W3032079824","doi":"10.1016/s2589-7500(20)30130-8","title":"Digital health at the age of the Anthropocene","year":2020,"lang":"en","type":"article","venue":"The Lancet Digital Health","topic":"Green IT and Sustainability","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"U.S. National Library of Medicine; National Institute of Mental Health; National Institute on Aging","keywords":"Information and Communications Technology; Paradigm shift; Digital health; Upload; Consumption (sociology); Business; Engineering; Telecommunications; Health care; Computer science; Political science; World Wide Web; Sociology; Social science","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":[0.003508096,0.0004784031,0.0004437947,0.001541424,0.005866854,0.01086116,0.0008268837,0.004733468,0.02923872],"category_scores_gemma":[0.005668459,0.0002711973,0.000319158,0.001847088,0.01772301,0.01478817,0.008289446,0.005602364,0.004235117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00692844,"about_ca_system_score_gemma":0.004709803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006715371,"about_ca_topic_score_gemma":0.01062234,"domain_scores_codex":[0.9982523,0.0007991548,0.00006391519,0.0002456268,0.0002792715,0.000359707],"domain_scores_gemma":[0.9975661,0.00104981,0.0001533363,0.0003347728,0.0002993333,0.0005966861],"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":[0.00007659706,0.00003650057,0.001137744,0.0003695196,0.00001035311,0.0003035751,0.02765789,0.00007082132,0.0002869588,0.6987618,0.1566864,0.1146019],"study_design_scores_gemma":[0.000003654369,0.00001106288,0.0005936986,0.0003933794,0.000002465159,0.0001210612,0.006038152,0.00001833474,0.00008020513,0.04181982,0.9509123,0.000005860419],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01479408,0.1087459,0.002903144,0.5353997,0.008648081,0.00005169227,0.0006772421,0.0001702673,0.3286098],"genre_scores_gemma":[0.4694188,0.186957,0.006076531,0.1340252,0.01558115,0.0002577966,0.001084742,0.0003791367,0.1862198],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02923872,"threshold_uncertainty_score":0.09781331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703951698876808,"score_gpt":0.2713264373557392,"score_spread":0.2442869203669711,"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."}}