{"id":"W4281752808","doi":"10.3390/jpm12060958","title":"Immune Cell Networks Uncover Candidate Biomarkers of Melanoma Immunotherapy Response","year":2022,"lang":"en","type":"article","venue":"Journal of Personalized Medicine","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences; Queen's University; Queen's University Belfast","keywords":"Nivolumab; Immune system; Immunotherapy; Context (archaeology); Immunology; Melanoma; Medicine; Tumor microenvironment; Immune checkpoint; Oncology; Biology; Bioinformatics; Cancer research","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0005445103,0.0002890751,0.0004635842,0.00134126,0.0002463806,0.0009012621,0.0001970505,0.0003355685,0.002142539],"category_scores_gemma":[0.001629597,0.0001639635,0.0004768374,0.001030068,0.0002552124,0.0005483885,0.0005800273,0.0004527807,0.000385446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004923611,"about_ca_system_score_gemma":0.0003554715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001361246,"about_ca_topic_score_gemma":0.001962748,"domain_scores_codex":[0.9996507,0.00008886396,0.00001771315,0.0001233427,0.0000485697,0.00007075055],"domain_scores_gemma":[0.9992804,0.0003024344,0.0002414766,0.00004867196,0.00006395875,0.00006305332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001446539,0.0002038659,0.7945042,0.0004376666,0.0009255449,0.000308545,0.0002996544,0.02207251,0.07806958,0.004829593,0.004392217,0.09251007],"study_design_scores_gemma":[0.00005547922,0.0003620713,0.8666878,0.0001085191,0.0004801283,0.0004566002,0.00042188,0.09113643,0.008645068,0.02148055,0.01012456,0.00004100022],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717552,0.004425086,0.01213639,0.0009364721,0.00004826251,0.00005415516,0.006719439,0.0002069758,0.003717906],"genre_scores_gemma":[0.9934889,0.0005853179,0.002593819,0.0001759974,0.00003876425,0.00004016416,0.002477179,0.00001949085,0.0005804466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002142539,"threshold_uncertainty_score":0.007167518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01165519716508446,"score_gpt":0.272814315552969,"score_spread":0.2611591183878845,"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."}}