{"id":"W2950797393","doi":"10.1371/journal.pcbi.1006646","title":"Epithelial stratification shapes infection dynamics","year":2019,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Thunder Bay Regional Research Institute","funders":"H2020 European Research Council; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Chlamydia trachomatis; Biology; Pathogen; Mucus; Sexually transmitted disease; Immunology; Chlamydia; Chlamydia trachomatis infection; Microbiology; Virology; Ecology; Human immunodeficiency virus (HIV)","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":[0.00037649,0.0003655764,0.0005409656,0.000535682,0.0005686726,0.001768496,0.0004845457,0.001444922,0.002080263],"category_scores_gemma":[0.00246624,0.0005590644,0.0008252131,0.0003249633,0.000921151,0.001308201,0.001116247,0.0007455088,0.0004492328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323762,"about_ca_system_score_gemma":0.0009301068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008567107,"about_ca_topic_score_gemma":0.00471283,"domain_scores_codex":[0.9997606,0.00006666919,0.000009431456,0.00006248958,0.00002788724,0.00007301544],"domain_scores_gemma":[0.9991366,0.0003642394,0.0001819577,0.000057942,0.00008498489,0.0001741538],"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":[0.000224113,0.0001122298,0.05084687,0.0002275173,0.00008971948,0.0006352446,0.0005108824,0.8444974,0.05300936,0.03408815,0.002485032,0.0132735],"study_design_scores_gemma":[0.00002258041,0.00008357091,0.01485822,0.00003277038,0.00004479179,0.0002197942,0.0002365676,0.96724,0.001956552,0.01343083,0.001825948,0.00004845115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9384466,0.001132053,0.05085918,0.001207263,0.00008891762,0.00004033383,0.0004350972,0.0002382261,0.007552359],"genre_scores_gemma":[0.9960164,0.0003678987,0.001984801,0.0001007997,0.00001196342,0.0000209737,0.00008883193,0.00002951747,0.001378746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008567107,"threshold_uncertainty_score":0.01703447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03092700205490007,"score_gpt":0.3336084134885911,"score_spread":0.302681411433691,"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."}}