{"id":"W2912999949","doi":"10.1002/adtp.201800128","title":"Advancing Cancer Immunotherapies with Nanotechnology","year":2019,"lang":"en","type":"article","venue":"Advanced Therapeutics","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Terry Fox Research Institute; Canadian Cancer Society; Canada Foundation for Innovation; Prostate Cancer Canada","keywords":"Cancer; Cancer immunotherapy; Immunotherapy; Nanotechnology; Medicine; Immune system; Cancer therapy; Nanomedicine; Cancer treatment; Immunology; Materials science; Nanoparticle; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004499932,0.0002915321,0.000289776,0.000105006,0.00005466073,0.00002114296,0.0002693628,0.0001375775,0.0001556858],"category_scores_gemma":[0.000001506849,0.000246117,0.00005046619,0.000324195,0.00006907086,0.0002870019,0.00002046442,0.0002929326,0.00009453889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001936191,"about_ca_system_score_gemma":0.00003776531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006553169,"about_ca_topic_score_gemma":0.00005050891,"domain_scores_codex":[0.9988514,0.000005948779,0.0002135613,0.0002247409,0.0001792461,0.0005251464],"domain_scores_gemma":[0.999293,0.00005872136,0.00005399698,0.0004941059,0.00005847252,0.00004171462],"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":[0.0001066838,0.00001598232,0.001491294,0.00006267411,0.0002967906,0.000003979365,0.0003230607,0.0670028,0.7341732,0.000714133,0.000004129268,0.1958052],"study_design_scores_gemma":[0.002873001,0.0004116314,0.0003519195,0.0002004419,0.00007311696,0.00002479603,0.0004135933,0.006495976,0.5413448,0.00301927,0.4438241,0.0009674192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654241,0.01503748,0.01500954,0.0001661197,0.001149964,0.0005112187,0.00001991563,0.001263116,0.001418549],"genre_scores_gemma":[0.9877036,0.004706368,0.006470184,0.0004372894,0.00004354851,0.00006991067,0.00000514461,0.0001669693,0.0003970089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4438199,"threshold_uncertainty_score":0.9999991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004212879370685423,"score_gpt":0.2131836248127305,"score_spread":0.2089707454420451,"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."}}