{"id":"W3135048636","doi":"10.1158/1538-7445.tme21-lt021","title":"Abstract LT021: Targeting AXL favors an anti-tumorigenic tumor microenvironment that enhances immunotherapy responses by decreasing HIF-1a levels in cancer cells","year":2021,"lang":"en","type":"article","venue":"Cancer Research","topic":"Phagocytosis and Immune Regulation","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Clinical Research Institute","funders":"","keywords":"Tumor microenvironment; Cancer research; Metastasis; Immunotherapy; Angiogenesis; Immune system; Metastatic breast cancer; Cancer; Breast cancer; Tumor hypoxia; Receptor tyrosine kinase; AXL receptor tyrosine kinase; Biology; Hypoxia (environmental); Medicine; Immunology; Internal medicine; Receptor; Chemistry; Radiation therapy; JAK-STAT signaling pathway","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":[0.0001021217,0.0003502696,0.0002419773,0.0001520477,0.0001712437,0.0003076903,0.0002055963,0.0003368505,0.002328304],"category_scores_gemma":[0.00004688988,0.0001106481,0.0001733794,0.0001286761,0.0001969237,0.0001648536,0.0001326035,0.0006876444,0.0004220409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003534799,"about_ca_system_score_gemma":0.0002690658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006089822,"about_ca_topic_score_gemma":0.000822473,"domain_scores_codex":[0.9998983,0.00001199033,0.000008841452,0.00002180988,0.00003112633,0.0000279912],"domain_scores_gemma":[0.9999563,0.000003758734,0.00001358366,0.000003118654,0.000005727025,0.00001756979],"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":[0.0001893823,0.00006876814,0.00007498231,0.00004457446,0.000004777576,0.00001838832,0.000007398512,0.00009557021,0.9980433,0.0001290306,0.0001850595,0.001138752],"study_design_scores_gemma":[0.00005356462,0.0007783227,0.0009437759,0.000004953793,0.00001383047,0.0001097992,0.0000146925,0.001070376,0.9935377,0.00003303557,0.003436722,0.000003216668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894736,0.001700806,0.003526095,0.0005711266,0.0001091543,0.00007346371,0.001095373,0.0003175932,0.003132908],"genre_scores_gemma":[0.9920065,0.0004579049,0.001881637,0.0001670082,0.00001926774,0.00007344877,0.000912711,0.00002562894,0.004455845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002328304,"threshold_uncertainty_score":0.007788956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07506359404709063,"score_gpt":0.3758488369831959,"score_spread":0.3007852429361053,"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."}}