{"id":"W3207424818","doi":"10.1371/journal.pcbi.1009480","title":"Time to revisit the endpoint dilution assay and to replace the TCID50 as a measure of a virus sample’s infection concentration","year":2021,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"HIV Research and Treatment","field":"Immunology and Microbiology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; RIKEN; Division of Mathematical Sciences; National Institutes of Health; Ontario Ministry of Research, Innovation and Science; Government of Ontario","keywords":"Measure (data warehouse); Sample (material); Biology; Dilution; Statistics; Computational biology; Computer science; Chromatography; Mathematics; Data mining; Chemistry; Physics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03263727,0.003041514,0.003729248,0.004596036,0.001964245,0.008138031,0.004158944,0.004564263,0.02854362],"category_scores_gemma":[0.07823682,0.002343865,0.003314994,0.002194473,0.004021017,0.00546943,0.004014333,0.01253197,0.05326881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002986335,"about_ca_system_score_gemma":0.004603037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004195857,"about_ca_topic_score_gemma":0.00575833,"domain_scores_codex":[0.9708886,0.007925702,0.002251881,0.003235657,0.01474158,0.0009566195],"domain_scores_gemma":[0.9409274,0.02458086,0.002820651,0.01265874,0.01682577,0.002186527],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001500475,0.000609,0.005735885,0.002790238,0.0004140094,0.0009427062,0.001787941,0.002935477,0.1091159,0.02340641,0.3465827,0.5041792],"study_design_scores_gemma":[0.0001431385,0.001100963,0.003774032,0.0009768432,0.0002039055,0.001458562,0.0005652655,0.005083406,0.08557601,0.01502786,0.8856725,0.0004175525],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01589253,0.02206447,0.7574333,0.04543149,0.05106244,0.004753757,0.01151998,0.05134135,0.04050067],"genre_scores_gemma":[0.07575306,0.01704209,0.7408758,0.03735072,0.007888573,0.007055627,0.01090342,0.02585137,0.07727937],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9673628,"threshold_uncertainty_score":0.1726044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877911911499406,"score_gpt":0.2715664103923257,"score_spread":0.2527872912773316,"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."}}