{"id":"W4414838703","doi":"10.1002/smsc.202500290","title":"Fine‐Tuning Photochemical Immunogenic Cell Death by a Panel of Verteporfin‐Lipid Nanoparticles: A Data‐Driven Approach","year":2025,"lang":"en","type":"article","venue":"Small Science","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"National Institute of Biomedical Imaging and Bioengineering; National Cancer Institute; National Institutes of Health; Cancer Prevention and Research Institute of Texas; American Cancer Society; Anna Fuller Fund","keywords":"Phototoxicity; Reactive oxygen species; Programmed cell death; Endoplasmic reticulum; Mitochondrion; Apoptosis; Immune system","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003278572,0.0001720374,0.0002196913,0.0001112757,0.00009895522,0.00005170424,0.001463794,0.00006658663,0.00001131501],"category_scores_gemma":[0.00007846371,0.0001648526,0.00004274831,0.0009534957,0.0002698616,0.0002753639,0.0003502988,0.000170038,0.000006766707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368361,"about_ca_system_score_gemma":0.0002161417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006008959,"about_ca_topic_score_gemma":0.000008328949,"domain_scores_codex":[0.9985172,0.000007265042,0.0003238825,0.0003900953,0.0002888719,0.0004726516],"domain_scores_gemma":[0.9988729,0.00005846379,0.00005283949,0.0008613135,0.00005897891,0.0000954473],"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":[0.00001179436,0.00004713942,0.0005459552,0.00009713277,0.00001619449,0.000001060843,0.0001775779,0.001698486,0.9960811,0.00007650167,0.0003131668,0.0009338852],"study_design_scores_gemma":[0.0004387798,0.00002583938,0.0001672197,0.00005332386,0.00003094162,0.000003366668,0.00007763996,0.201445,0.7968046,0.00009032874,0.0006794999,0.0001835039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824259,0.0006731932,0.01229394,0.000009485137,0.0002681547,0.0002637171,0.00007555412,0.0001386462,0.003851419],"genre_scores_gemma":[0.9912609,0.00003560722,0.008498984,0.00002607031,0.00001707444,0.00002177619,0.00002806162,0.00001794732,0.00009358911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1997465,"threshold_uncertainty_score":0.6722494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279800103305704,"score_gpt":0.2347868658255739,"score_spread":0.2019888647925169,"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."}}