{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007023694,0.00006080484,0.0001261482,0.00008268186,0.0000351478,0.000009466496,0.00003547904,0.00007563279,0.002336552],"category_scores_gemma":[0.00004514377,0.00005188506,0.00004121272,0.0001168667,0.00004549515,0.00003348339,0.00001955721,0.0001319923,0.0006057199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009644726,"about_ca_system_score_gemma":0.0001069492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003604864,"about_ca_topic_score_gemma":0.00002606737,"domain_scores_codex":[0.9994124,0.0000361896,0.0001211098,0.0001800536,0.000130452,0.000119849],"domain_scores_gemma":[0.9995025,0.00012696,0.00003157098,0.00006403348,0.0002214649,0.00005340391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009329464,0.0007580522,0.4993111,0.0003581342,0.0002934173,0.000004138351,0.0001276849,0.005356656,0.02731279,0.2714343,0.000382583,0.1937283],"study_design_scores_gemma":[0.0008709463,0.0004970161,0.7183002,0.000006095913,0.00001854893,0.00001184155,0.000009368193,0.2610477,0.0004201048,0.01771703,0.001018587,0.00008257976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705029,0.00003897476,0.006330502,0.002678844,0.0001302456,0.0003811713,0.00003783708,0.00006753434,0.01983206],"genre_scores_gemma":[0.9979162,0.0000116928,0.0006466166,0.0003014189,0.00015879,0.00001492754,0.0006801799,0.000007008167,0.0002632184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2556911,"threshold_uncertainty_score":0.9985754,"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."}}