{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0003717612,0.000176742,0.0004511739,0.00002606254,0.0002561118,0.00002552221,0.0001160365,0.00008109977,0.000502367],"category_scores_gemma":[0.0111246,0.0001402176,0.0002489098,0.0001721608,0.0001199432,0.0001036372,0.0001496985,0.0001158391,0.00008501872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001162735,"about_ca_system_score_gemma":0.0001132221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001482687,"about_ca_topic_score_gemma":0.0003213246,"domain_scores_codex":[0.9987758,0.0001312855,0.0003083112,0.0003142772,0.0001782656,0.0002920801],"domain_scores_gemma":[0.9955555,0.003820255,0.0001040562,0.000258317,0.0001973751,0.00006446397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001905826,0.001273805,0.009432078,0.001005387,0.002013176,0.00006281297,0.0007228413,0.000008952881,0.04366793,0.2101318,0.7277776,0.003712966],"study_design_scores_gemma":[0.0009626076,0.0001831743,0.001310108,0.0001665039,0.0005145468,0.00001313359,0.00008279158,0.00005605387,0.01297944,0.1794184,0.8039316,0.0003816216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.7760626,0.05112961,0.1150773,0.0333284,0.002614803,0.003690496,0.002515044,0.003027585,0.01255417],"genre_scores_gemma":[0.3230645,0.08730492,0.1701543,0.3616127,0.004824534,0.007115574,0.0002388483,0.0006393284,0.04504526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.452998,"threshold_uncertainty_score":0.9972051,"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."}}