{"id":"W3010808413","doi":"10.1080/2162402x.2020.1736792","title":"LAG-3 and PD-1+LAG-3 inhibition promote anti-tumor immune responses in human autologous melanoma/T cell co-cultures","year":2020,"lang":"en","type":"article","venue":"OncoImmunology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Université de Lausanne; Krebsliga Schweiz; Ludwig Institute for Cancer Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Cancer Research Institute","keywords":"Tumor microenvironment; Blockade; Melanoma; Cancer research; Cytotoxic T cell; Immunotherapy; Cancer immunotherapy; CD8; Immune checkpoint; T cell; Cytokine; Immunology; Antibody; Blocking antibody; Medicine; Immune system; Receptor; Biology; Internal medicine; In vitro","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":[0.0003458671,0.0005121895,0.0006842134,0.0002830016,0.0001653671,0.0003907077,0.0003203105,0.0003256733,0.002645377],"category_scores_gemma":[0.0002051477,0.0001876524,0.0005032133,0.0003349926,0.0001043366,0.000153948,0.0003106499,0.001086479,0.001311786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001352025,"about_ca_system_score_gemma":0.0002007843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006913297,"about_ca_topic_score_gemma":0.0009215618,"domain_scores_codex":[0.9995592,0.0001100878,0.00006272619,0.00009690488,0.00009641053,0.00007474394],"domain_scores_gemma":[0.9996796,0.0001132137,0.00003660201,0.00006723933,0.00004804168,0.00005539381],"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":[0.001143152,0.0005849024,0.0004300471,0.0001075919,0.00002353608,0.0002097714,0.00009804931,0.0007528324,0.9933093,0.0001199878,0.0002164624,0.003004392],"study_design_scores_gemma":[0.0001114147,0.002905213,0.002580982,0.00002141977,0.0000534391,0.0003776189,0.00004619902,0.004092688,0.9869139,0.00004773837,0.002841653,0.000007770646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890661,0.002690293,0.00436627,0.0000796526,0.0001230834,0.0001463566,0.0006674422,0.0000866421,0.002774059],"genre_scores_gemma":[0.9888813,0.001228781,0.004899705,0.00008524412,0.00007189153,0.0001759119,0.001155035,0.0000283266,0.003473795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002645377,"threshold_uncertainty_score":0.00884968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643124921395461,"score_gpt":0.293452555546814,"score_spread":0.2770213063328594,"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."}}