{"id":"W3199687507","doi":"10.3390/v13091815","title":"Personalized Virus Load Curves for Acute Viral Infections","year":2021,"lang":"en","type":"article","venue":"Viruses","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Viral load; Virus; Rhinovirus; Function (biology); Exponential function; Computer science; Virology; Influenza A virus; Exponential growth; Biology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002473681,0.0009667036,0.0009448522,0.001389702,0.000358505,0.001352157,0.001147724,0.001236259,0.003383346],"category_scores_gemma":[0.01365773,0.0003814125,0.0009945839,0.001147249,0.0007822221,0.00230411,0.001040175,0.001757989,0.001070414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160633,"about_ca_system_score_gemma":0.0006475559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002263354,"about_ca_topic_score_gemma":0.001814444,"domain_scores_codex":[0.9990044,0.0004243849,0.00005610028,0.0001860134,0.0002036368,0.000125502],"domain_scores_gemma":[0.9949044,0.003020319,0.0007773483,0.0008045742,0.000328867,0.0001645515],"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":[0.0002263031,0.0001294768,0.03415419,0.0002322825,0.0001029156,0.000439114,0.0005407315,0.8004415,0.00980906,0.06337199,0.003583699,0.08696865],"study_design_scores_gemma":[0.00001034919,0.0001023174,0.008538326,0.00003501605,0.00002088722,0.0005050689,0.00007136601,0.9401522,0.002156138,0.04470341,0.003661813,0.00004314522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08880368,0.0005399308,0.9044173,0.0004793391,0.00003663688,0.00009086742,0.0008939746,0.001088965,0.003649255],"genre_scores_gemma":[0.8719981,0.000808726,0.1197026,0.0002916448,0.00008936427,0.0002535831,0.001386954,0.0005347173,0.004934195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003383346,"threshold_uncertainty_score":0.01308227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3044700778060324,"score_gpt":0.4781752148302353,"score_spread":0.1737051370242029,"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."}}