{"id":"W4411872495","doi":"10.1172/jci184043","title":"Targeting immune checkpoint LAIR1 with antibody blockade or 3-in-1 CAR T cells enhances antitumor response","year":2025,"lang":"en","type":"article","venue":"Journal of Clinical Investigation","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pediatric Oncology Group","funders":"National Cancer Institute","keywords":"Blockade; Blocking (statistics); Blocking antibody; Immune system; Immune checkpoint; Antibody; Immunology; Cancer research; Medicine; Chemistry; Immunotherapy; Receptor; Computer science; Internal medicine","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":[0.0001603609,0.0004792673,0.0006298891,0.0002566095,0.0001058805,0.0002616207,0.0002109136,0.0004744713,0.001315685],"category_scores_gemma":[0.00009004147,0.0001271896,0.0003321103,0.0001180137,0.0001962055,0.0002215839,0.0001437283,0.001381022,0.0003987348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598136,"about_ca_system_score_gemma":0.0002932736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003870842,"about_ca_topic_score_gemma":0.0005750237,"domain_scores_codex":[0.999799,0.00002772414,0.00001241434,0.00003222394,0.00003830068,0.00009044789],"domain_scores_gemma":[0.9999216,0.00001173439,0.00002085348,0.000009049259,0.000007057417,0.0000297776],"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":[0.0004880726,0.0002899277,0.0001448731,0.00007281261,0.00001068487,0.00003454483,0.00001698689,0.0002112587,0.9941804,0.00007995604,0.0001962591,0.004274249],"study_design_scores_gemma":[0.0001664398,0.003524527,0.003089857,0.00001091356,0.00006292557,0.0003560219,0.00002614955,0.002199917,0.9869042,0.00006944671,0.003581082,0.000008416851],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935151,0.001998887,0.001943843,0.0001636028,0.00007005747,0.0000812732,0.0001661666,0.0002535994,0.001807299],"genre_scores_gemma":[0.996098,0.0006751518,0.001241775,0.0001043792,0.00003226949,0.00005619988,0.0001871173,0.00001771703,0.001587396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001315685,"threshold_uncertainty_score":0.004401386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05981472004056149,"score_gpt":0.4301382672769701,"score_spread":0.3703235472364086,"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."}}