{"id":"W3081206880","doi":"10.3390/cancers12092418","title":"Tumor Infiltrating Lymphocytes Signature as a New Pan-Cancer Predictive Biomarker of Anti PD-1/PD-L1 Efficacy","year":2020,"lang":"en","type":"article","venue":"Cancers","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Immunotherapy; Medicine; Lung cancer; Gene signature; Melanoma; Oncology; Cancer; Tumor-infiltrating lymphocytes; Myeloid; Cancer immunotherapy; Biomarker; Internal medicine; Cancer research; Biology; Gene; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004440818,0.0002923646,0.0003244118,0.001081852,0.0001094646,0.00060631,0.0001438331,0.0002155409,0.001186925],"category_scores_gemma":[0.0007267836,0.00008365942,0.0001929067,0.0006434262,0.0001552821,0.0002520879,0.0003380619,0.0003087022,0.0003087181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002126541,"about_ca_system_score_gemma":0.0001758562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000317771,"about_ca_topic_score_gemma":0.0007866938,"domain_scores_codex":[0.999818,0.00004928549,0.00001458735,0.00004546289,0.0000433503,0.00002933832],"domain_scores_gemma":[0.9995542,0.0001072829,0.0001867806,0.00003342682,0.0000598005,0.00005845234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001997785,0.0001996921,0.7843464,0.0002016073,0.0001693918,0.0002280925,0.0001020344,0.004875224,0.1385128,0.0002975653,0.001299653,0.06776983],"study_design_scores_gemma":[0.0001155754,0.001876374,0.8705416,0.00005328948,0.0004154353,0.00207291,0.0002532619,0.03746654,0.07859832,0.001466712,0.007097212,0.00004287777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989437,0.0007977618,0.00548353,0.00007610122,0.00001474995,0.00006277444,0.002051529,0.0002007451,0.001875837],"genre_scores_gemma":[0.9939569,0.0001460147,0.003773561,0.0000672809,0.00001495507,0.00005201898,0.001422392,0.0000156911,0.0005510866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001186925,"threshold_uncertainty_score":0.003970683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02622262680754774,"score_gpt":0.2952724801144459,"score_spread":0.2690498533068982,"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."}}