{"id":"W4281922328","doi":"10.3390/curroncol29060334","title":"Current and Future Biomarkers for Immune Checkpoint Inhibitors in Head and Neck Squamous Cell Carcinoma","year":2022,"lang":"en","type":"review","venue":"Current Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Head and neck squamous-cell carcinoma; Immunotherapy; Medicine; Biomarker; Immune checkpoint; Immune system; Cancer research; Head and neck cancer; Epigenomics; Cancer immunotherapy; Mass cytometry; Cancer; Computational biology; Bioinformatics; Oncology; Immunology; Internal medicine; Biology; DNA methylation; Gene expression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001312933,0.0008979017,0.001687467,0.002484988,0.0001931949,0.001132303,0.0009302736,0.001351182,0.002850125],"category_scores_gemma":[0.001174484,0.0003772389,0.0008300222,0.001866672,0.0004997686,0.001630518,0.0007356058,0.001876561,0.002065605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006181555,"about_ca_system_score_gemma":0.001013057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008392447,"about_ca_topic_score_gemma":0.001450501,"domain_scores_codex":[0.9997254,0.00006612899,0.00003876039,0.00004168723,0.0001011817,0.00002685041],"domain_scores_gemma":[0.9994339,0.0002553668,0.00009074694,0.00001453213,0.0001699219,0.00003545928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000921832,0.00007685275,0.0003486969,0.01144108,0.0001149561,0.0001423462,0.00003907759,0.0002997273,0.001588793,0.002566538,0.01903309,0.9642567],"study_design_scores_gemma":[0.00004154089,0.0002131839,0.001601624,0.006889006,0.0002797614,0.001088503,0.00006816979,0.0002625991,0.001174619,0.003383237,0.9849629,0.00003471457],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001105185,0.9987984,0.0001481739,0.0003742935,0.000128858,0.000006772113,0.00001899878,0.000007176952,0.0004068204],"genre_scores_gemma":[0.0009135316,0.9976979,0.0003456608,0.0003419483,0.0001502731,0.00001787424,0.00005585854,0.000001998821,0.0004749941],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002850125,"threshold_uncertainty_score":0.009534597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08616609426532607,"score_gpt":0.3938095978415013,"score_spread":0.3076435035761753,"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."}}