{"id":"W3014177850","doi":"10.1021/acsnano.0c00468","title":"Nanoparticle Uptake in a Spontaneous and Immunocompetent Woodchuck Liver Cancer Model","year":2020,"lang":"en","type":"article","venue":"ACS Nano","topic":"Immunotherapy and Immune Responses","field":"Immunology and Microbiology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University Health Network; University of Toronto; Health Sciences Centre; Memorial University of Newfoundland; Princess Margaret Cancer Centre; Canada Research Chairs","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Liver Foundation; Toronto General and Western Hospital Foundation","keywords":"Woodchuck hepatitis virus; Liver cancer; Cancer; Immune system; Spleen; Biodistribution; Biology; In vivo; Cancer research; Virology; Hepatitis B virus; Virus; Immunology; Hepatocellular carcinoma; Hepadnaviridae","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":[0.0001175684,0.0001799047,0.0002748685,0.00005683947,0.0001154034,0.00001991071,0.0001941483,0.0001496131,0.0003386752],"category_scores_gemma":[0.00004218365,0.0001624117,0.00005287793,0.0001556772,0.0001322274,0.0001132395,0.0001009074,0.0002226995,0.0002233839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003821516,"about_ca_system_score_gemma":0.0000898071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002405301,"about_ca_topic_score_gemma":0.00005233193,"domain_scores_codex":[0.9989,0.0001249128,0.0002845043,0.000281975,0.00003197383,0.0003766574],"domain_scores_gemma":[0.9996215,0.00007326391,0.00006042703,0.0001920294,0.00002826087,0.00002448878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001338158,0.00007815416,0.000403216,0.00001297955,0.0000794021,0.00007852977,0.002698369,0.000108594,0.981243,0.0002464307,0.0003335754,0.01337961],"study_design_scores_gemma":[0.005404144,0.0006038723,0.009098177,0.00009679607,0.00005556161,0.0006086239,0.0005269077,0.001191228,0.9193645,0.00009206027,0.0623739,0.0005842889],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569871,0.0413723,0.00001915615,0.001036269,0.0001330818,0.00022797,0.00001693712,0.00005641195,0.0001507474],"genre_scores_gemma":[0.9942304,0.002701806,0.00006906974,0.001442489,0.00001209156,0.00004412382,0.000007849499,0.00002172447,0.001470368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06204033,"threshold_uncertainty_score":0.6622956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050737224186961,"score_gpt":0.2336530617753293,"score_spread":0.2131456895334597,"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."}}