{"id":"W84639916","doi":"","title":"Can cloud computing benefit health services? - a SWOT analysis.","year":2011,"lang":"en","type":"article","venue":"PubMed","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Cloud computing; SWOT analysis; Computer science; Health care; Utility computing; Data science; Process management; Cloud computing security; Knowledge management; Risk analysis (engineering); Business; Marketing","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":[0.01246695,0.0005021349,0.0005862204,0.002352872,0.000907794,0.002346355,0.0004800226,0.001046004,0.001995353],"category_scores_gemma":[0.02487555,0.0002776839,0.001131034,0.002796148,0.0009239616,0.003924691,0.001079505,0.001124614,0.0002320103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003991486,"about_ca_system_score_gemma":0.002286245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00492039,"about_ca_topic_score_gemma":0.006905202,"domain_scores_codex":[0.9907417,0.006144147,0.0002428626,0.0002669793,0.001905645,0.0006986967],"domain_scores_gemma":[0.9679562,0.02483785,0.002343112,0.0006995243,0.003311973,0.0008512958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004246654,0.001651567,0.319131,0.003736196,0.001669107,0.001459986,0.00257919,0.233379,0.006009574,0.1440861,0.0124456,0.2696061],"study_design_scores_gemma":[0.00028943,0.00363759,0.1875586,0.001283624,0.0007318603,0.0006501327,0.01354097,0.6529648,0.004902387,0.1090048,0.02530241,0.0001333436],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9039336,0.003104998,0.03991975,0.01326792,0.0001866231,0.002031479,0.002825143,0.00008587179,0.03464461],"genre_scores_gemma":[0.9902102,0.0004583259,0.008372797,0.000322368,0.00002470334,0.0001445713,0.0002223392,0.00001086218,0.0002339045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01246695,"threshold_uncertainty_score":0.06593233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03267110340317181,"score_gpt":0.2234590369646539,"score_spread":0.1907879335614821,"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."}}