{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001083922,0.00005931484,0.0001803206,0.00009832355,0.0000183295,0.000005870396,0.00003343812,0.00006399744,0.00006024928],"category_scores_gemma":[0.0003687116,0.00005276688,0.00002314327,0.0001235442,0.00004137637,0.00005569985,0.00004392882,0.0001258369,0.000006485431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002034047,"about_ca_system_score_gemma":0.00008649464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009812826,"about_ca_topic_score_gemma":0.00001278121,"domain_scores_codex":[0.9993719,0.0000667745,0.0001705404,0.0001510379,0.0001390807,0.000100704],"domain_scores_gemma":[0.9995636,0.0002112524,0.00005585647,0.00003451081,0.00007053769,0.00006427542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002529625,0.0000819828,0.9675516,0.00006349025,0.0001399305,0.000008032564,0.0004030058,0.003531146,0.01110411,0.01543695,0.000007877699,0.001418904],"study_design_scores_gemma":[0.001825919,0.0003097963,0.9710317,0.000011421,0.00002121999,0.000004068926,0.00001268074,0.02290489,0.000103051,0.003720408,0.00001311191,0.00004175437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987852,0.00002408562,0.005947847,0.005729831,0.0000280176,0.0002363965,0.00001624201,0.00001968938,0.0001458295],"genre_scores_gemma":[0.9977031,0.000008833322,0.001769228,0.0004253952,0.00003175429,0.000008979294,0.00004543166,0.000003857157,0.000003391108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01937375,"threshold_uncertainty_score":0.2151771,"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."}}