{"id":"W4200138766","doi":"10.1109/bibe52308.2021.9635556","title":"Predictive Analytics to Support Health Informatics on COVID-19 Data","year":2021,"lang":"en","type":"article","venue":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Predictive analytics; Computer science; Autoencoder; Informatics; Health informatics; Analytics; Health care; Data science; Machine learning; Artificial intelligence; Data analysis; Big data; Data mining; Coronavirus disease 2019 (COVID-19); Disease; Deep learning; Medicine; Infectious disease (medical specialty); Engineering; Pathology","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":[0.000514551,0.0003194201,0.0004488745,0.0005616588,0.000119003,0.0002713997,0.0004312183,0.0001188067,0.0003704288],"category_scores_gemma":[0.0009039108,0.0002979074,0.00007407684,0.0004645051,0.00005944007,0.0002877372,0.0003090325,0.0003781455,0.0001424461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004895283,"about_ca_system_score_gemma":0.001477426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004233703,"about_ca_topic_score_gemma":0.00002801407,"domain_scores_codex":[0.997566,0.00001897867,0.0009122487,0.0003140096,0.0008100228,0.0003787749],"domain_scores_gemma":[0.9976119,0.0002068695,0.0002417796,0.000801287,0.0003901554,0.0007480382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001391111,0.002951554,0.006477171,0.007375592,0.003221157,0.0005923173,0.02160693,0.09322925,0.001170722,0.07729934,0.628356,0.1563289],"study_design_scores_gemma":[0.001392331,0.001466649,0.0005813324,0.0008288964,0.00006847869,0.0001849482,0.001714609,0.7760583,0.0005762341,0.00005749399,0.2166481,0.0004226506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06300892,0.0001853976,0.4363925,0.4491687,0.007630201,0.003701817,0.01103067,0.0009062283,0.02797559],"genre_scores_gemma":[0.687885,0.005459716,0.0656826,0.2306176,0.0009629494,0.00008049702,0.007141218,0.0001153635,0.002055067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6828291,"threshold_uncertainty_score":0.9999473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1182582184977587,"score_gpt":0.3765256681276671,"score_spread":0.2582674496299083,"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."}}