{"id":"W3092637941","doi":"10.1371/journal.pcbi.1008211","title":"Uncovering drivers of dose-dependence and individual variation in malaria infection outcomes","year":2020,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Malaria Research and Control","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; University of Toronto","keywords":"Malaria; Plasmodium chabaudi; Biology; Parasite hosting; Host (biology); Immunology; Parasite load; Plasmodium falciparum; Immune system; Ecology; Parasitemia","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":[0.004399519,0.0003035638,0.0007880158,0.0005653279,0.0002223746,0.0007059816,0.0006518551,0.000649345,0.0006358239],"category_scores_gemma":[0.01171284,0.0004607616,0.000582491,0.0003730639,0.0007575845,0.0007779021,0.0008577495,0.001294229,0.00009734831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006064175,"about_ca_system_score_gemma":0.0004452469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577665,"about_ca_topic_score_gemma":0.001607291,"domain_scores_codex":[0.998571,0.0006926988,0.00006289253,0.0004115734,0.0001570986,0.0001046658],"domain_scores_gemma":[0.989908,0.006227732,0.001738585,0.001455536,0.0003886996,0.0002814348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006702487,0.0006656016,0.4840899,0.0003277861,0.000960613,0.0004687757,0.00158262,0.1472335,0.2927822,0.01837138,0.0005429571,0.05230441],"study_design_scores_gemma":[0.00002680829,0.0005310387,0.4639878,0.00001975285,0.000190038,0.0003199406,0.0002636382,0.4916562,0.01984964,0.02168847,0.00130011,0.0001665832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711142,0.0001408916,0.02796101,0.00009896396,0.00000541125,0.00003216756,0.0001229399,0.00009960575,0.0004247622],"genre_scores_gemma":[0.9963009,0.00003422231,0.003393936,0.00002489681,0.000003136861,0.00002301959,0.0000897518,0.00001935643,0.0001106336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004399519,"threshold_uncertainty_score":0.02326721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03546812745391343,"score_gpt":0.2886972190638238,"score_spread":0.2532290916099104,"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."}}