{"id":"W4283168167","doi":"10.4018/978-1-6684-5279-0.ch010","title":"Healthcare Informatics During the COVID-19 Pandemic","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in logistics, operations, and management science book series","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Health care; Informatics; Pandemic; Telemedicine; Health informatics; Healthcare delivery; Coronavirus disease 2019 (COVID-19); Medicine; Business; Political science; Infectious disease (medical specialty); Disease","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008382406,0.0002897984,0.0003572201,0.0004548625,0.001452124,0.0001729972,0.0003949857,0.00006972376,0.0002026528],"category_scores_gemma":[0.0004351032,0.0002352309,0.00004530892,0.000169937,0.002086456,0.001362643,0.0006045124,0.0004083904,0.000009753538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041774,"about_ca_system_score_gemma":0.000495645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009796914,"about_ca_topic_score_gemma":0.001191508,"domain_scores_codex":[0.9978571,0.00002502584,0.0006250679,0.0004598236,0.0006836825,0.000349331],"domain_scores_gemma":[0.9987866,0.000156052,0.0001725745,0.0006113962,0.00009544017,0.0001779813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000676917,0.00002717881,0.001786364,0.002332666,0.000026313,0.00008388389,0.001481202,0.0202812,0.00000232913,0.9698454,0.001284367,0.002781454],"study_design_scores_gemma":[0.0004112,0.0001330643,0.0003011606,0.0001924054,0.00006620997,0.00006856296,0.001039508,0.0002655485,0.000001894618,0.004455999,0.9928026,0.0002618991],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.0004453136,0.1269767,0.01701694,0.2777857,0.005817823,0.01733949,0.0007099732,0.001343191,0.552565],"genre_scores_gemma":[0.004753338,0.6342533,0.005795877,0.1043604,0.0002127947,0.0004739278,0.0001453202,0.00005982342,0.2499452],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9915182,"threshold_uncertainty_score":0.9998478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04601339488059169,"score_gpt":0.348542307451164,"score_spread":0.3025289125705724,"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."}}