{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003944887,0.0002718476,0.001069488,0.0005699357,0.0001687581,0.000006866349,0.0003218323,0.00009036908,0.006813679],"category_scores_gemma":[0.0001194597,0.0001991922,0.0005605393,0.0007746211,0.0004404421,0.00008944632,0.00005400371,0.0005999806,0.000001241178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004871502,"about_ca_system_score_gemma":0.0006742753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002916942,"about_ca_topic_score_gemma":0.000002820054,"domain_scores_codex":[0.996462,0.0005047726,0.001330318,0.0002053616,0.001150045,0.0003474558],"domain_scores_gemma":[0.9974059,0.0003811883,0.001347378,0.0003790769,0.0002973544,0.0001890971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.240932,0.0004476733,0.003132603,0.0000973475,0.001741384,0.0005510277,0.003135684,0.00008381,0.7200884,0.00001582957,0.0220256,0.007748739],"study_design_scores_gemma":[0.1194676,0.02984737,0.05494188,0.00129416,0.001479763,0.007199935,0.01438155,0.0005663552,0.02332892,0.00008426805,0.7466702,0.0007379237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128722,0.07602173,0.0005207789,0.007606728,0.00155044,0.0003966165,0.0000279751,0.00001720458,0.0009863566],"genre_scores_gemma":[0.9895799,0.004169753,0.0004109675,0.002024705,0.0004139711,0.00001166897,0.00002181245,0.00005755813,0.003309716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7246447,"threshold_uncertainty_score":0.9940943,"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."}}