{"id":"W2984486231","doi":"10.3390/v12010012","title":"The Zebrafish Xenograft Platform—A Novel Tool for Modeling KSHV-Associated Diseases","year":2019,"lang":"en","type":"article","venue":"Viruses","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Beatrice Hunter Cancer Research Institute; Canadian Bioethics Society; University of Ottawa; Dalhousie University","funders":"Canadian Institutes of Health Research; University of California, San Francisco; Dalhousie University; École Polytechnique Fédérale de Lausanne; Canadian Cancer Society; Cure Brain Cancer Foundation; Nova Scotia Health Research Foundation; Canadian Imperial Bank of Commerce; Beatrice Hunter Cancer Research Institute; Cancer Research Institute","keywords":"Lytic cycle; Zebrafish; Biology; Primary effusion lymphoma; Virus latency; Virology; Cancer research; Kaposi's sarcoma-associated herpesvirus; Viral replication; Virus; Gene; Herpesviridae; Genetics","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":[0.0003928598,0.0007548173,0.0004512354,0.0006979457,0.0003899541,0.0004845751,0.0007134012,0.000817141,0.00269364],"category_scores_gemma":[0.0001598596,0.0003934379,0.0005244593,0.0001642075,0.0003846583,0.0005691569,0.0006126945,0.001360052,0.0006614408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007305437,"about_ca_system_score_gemma":0.0007237594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003398818,"about_ca_topic_score_gemma":0.005123449,"domain_scores_codex":[0.9998017,0.00001899023,0.0000114482,0.000045994,0.00009018046,0.00003167975],"domain_scores_gemma":[0.9998816,0.00002099622,0.00002664681,0.00001506451,0.0000158954,0.00003970428],"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":[0.0001198544,0.00007772358,0.0003639828,0.00009124616,0.00001689569,0.0002981803,0.00005750177,0.001142183,0.9916059,0.00116709,0.0006823364,0.004377073],"study_design_scores_gemma":[0.00015207,0.001980692,0.003845884,0.00008632142,0.0001479964,0.001475694,0.0001015053,0.01919413,0.9190131,0.0006481971,0.05327665,0.0000778029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7450598,0.0062345,0.2173849,0.001289931,0.0008282172,0.001568194,0.006324521,0.006150397,0.01515947],"genre_scores_gemma":[0.8534063,0.005336645,0.1186279,0.0002856308,0.00005537476,0.001724646,0.002449206,0.0004886071,0.01762571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003398818,"threshold_uncertainty_score":0.009011149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716894755671532,"score_gpt":0.2536263081697444,"score_spread":0.2264573606130291,"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."}}