{"id":"W4391698699","doi":"10.1109/cats58046.2023.10424107","title":"Constructing COVID-19 Pandemic Prediction Models Using Positivity Rate","year":2023,"lang":"en","type":"article","venue":"","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Computer science; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Artificial intelligence; Virology; Medicine","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":[0.002026385,0.0009582543,0.0006482617,0.001704078,0.000347761,0.0008512285,0.0009250649,0.0007682058,0.001796753],"category_scores_gemma":[0.00464978,0.0004823685,0.001310256,0.0007463977,0.0002568137,0.0008643829,0.0007168842,0.001314736,0.0005286834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007151288,"about_ca_system_score_gemma":0.0009473297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213866,"about_ca_topic_score_gemma":0.01277804,"domain_scores_codex":[0.9995707,0.0001222007,0.00003595394,0.0001476505,0.00005173877,0.00007182176],"domain_scores_gemma":[0.9981048,0.001209049,0.0002101657,0.0001044655,0.0002957853,0.00007568699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000134239,0.0001142398,0.06024187,0.00005924995,0.0001052469,0.0001411582,0.00008126592,0.9065438,0.0007295542,0.002015942,0.002299298,0.02753407],"study_design_scores_gemma":[0.000005243366,0.00001876853,0.002746261,0.000008752075,0.00001219701,0.00001488816,0.00002473839,0.9955027,0.0002060482,0.001132495,0.0003203301,0.000007673717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.686037,0.0007907615,0.2954174,0.001237598,0.0002208741,0.0002800777,0.009934602,0.00136459,0.004717086],"genre_scores_gemma":[0.9323871,0.0003734811,0.05358322,0.0001078915,0.00007469139,0.000246317,0.01131522,0.00005600505,0.001856105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02213866,"threshold_uncertainty_score":0.04401958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1658353411893587,"score_gpt":0.3909802961869285,"score_spread":0.2251449549975698,"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."}}