{"id":"W3121836791","doi":"10.1101/2021.01.21.21250268","title":"Personalized Virus Load Curves of SARS-CoV-2 Infection","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Virus; Viral load; Function (biology); Computer science; Virology; Biology","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":[0.001183751,0.0006816455,0.0007088836,0.0006184325,0.0001926387,0.0009483443,0.0004997327,0.0009972322,0.002627664],"category_scores_gemma":[0.005207799,0.0002317262,0.0005977896,0.0004513446,0.0005215269,0.001020725,0.0005930971,0.0008716658,0.0007377884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000765273,"about_ca_system_score_gemma":0.0003428877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579171,"about_ca_topic_score_gemma":0.001191291,"domain_scores_codex":[0.9994431,0.0002074751,0.0000234109,0.0001170495,0.0001180611,0.00009089952],"domain_scores_gemma":[0.9980114,0.001059208,0.0003701747,0.0002857669,0.0001735037,0.0001000279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005132691,0.0001379124,0.04438664,0.0001674372,0.0001250482,0.000611449,0.0004400332,0.8726741,0.03187088,0.01074657,0.002937159,0.03538953],"study_design_scores_gemma":[0.00001791053,0.0001909363,0.02005033,0.00002269057,0.00002258894,0.0004410643,0.00007751095,0.960027,0.008281397,0.008741685,0.002071259,0.00005574711],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7465165,0.0007897746,0.2419733,0.0007916674,0.00005523297,0.00009616581,0.002673308,0.001719846,0.005384163],"genre_scores_gemma":[0.9882879,0.0001660762,0.008427294,0.0001122085,0.00001996779,0.00004782489,0.0008186479,0.0001388005,0.001981347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002627664,"threshold_uncertainty_score":0.008790433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08866495131579955,"score_gpt":0.3870528825209016,"score_spread":0.298387931205102,"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."}}