{"id":"W3081991170","doi":"10.1109/embc44109.2020.9176507","title":"Health Analytics as a Service with Artemis Cloud: Service Availability","year":2020,"lang":"en","type":"article","venue":"","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster Children's Hospital; Ontario Tech University","funders":"Joint Research Centre; Canada Research Chairs; FedDev Ontario; McMaster University; Hamilton Health Sciences","keywords":"Software deployment; Analytics; Cloud computing; Computer science; Big data; Service (business); Data science; Data analysis; Data mining; Business; Software engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002115986,0.000152609,0.0003753057,0.00004026144,0.0001019737,0.000006423396,0.0001126683,0.0001488439,0.0002296026],"category_scores_gemma":[0.0000864329,0.0001172276,0.00002869484,0.000894589,0.00002793349,0.00004948364,0.000049946,0.0004611055,0.0004704884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009997831,"about_ca_system_score_gemma":0.0005502079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002058267,"about_ca_topic_score_gemma":0.001063573,"domain_scores_codex":[0.9986928,0.00005057034,0.0003173431,0.0003546685,0.0002482719,0.0003364199],"domain_scores_gemma":[0.9986728,0.00005790177,0.0000903723,0.0004130985,0.0002618827,0.0005039854],"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":[0.00138243,0.0003784439,0.9595771,0.005006271,0.000231968,0.0001290317,0.006855899,0.00004355182,0.0003766682,0.001110258,0.007782401,0.01712593],"study_design_scores_gemma":[0.02336596,0.03398949,0.3961422,0.003759957,0.0009336841,0.001405774,0.03061701,0.03121963,0.02174122,0.001089471,0.4525076,0.003227937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7055163,0.00007786664,0.0002607413,0.2904125,0.00007146924,0.0003909536,0.000004266797,0.0004428254,0.002823013],"genre_scores_gemma":[0.9115891,0.00002448803,0.002134764,0.08583077,0.0002108299,0.000009967191,0.00001966473,0.00001819045,0.0001621623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5634349,"threshold_uncertainty_score":0.6047333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06890876713100746,"score_gpt":0.3309128791408671,"score_spread":0.2620041120098596,"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."}}