{"id":"W4415079377","doi":"10.1021/acssynbio.5c00395","title":"Thermally Controlled State Switches for Engineered Macrophages","year":2025,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; Beckman Institute, California Institute of Technology; Howard Hughes Medical Institute; California Institute of Technology; Sontag Foundation; Paul and Daisy Soros Fellowships for New Americans; National Institutes of Health; Human Frontier Science Program; National Science Foundation","keywords":"Immune system; Secretion; Immunotherapy; Gene expression; Cell culture; Macrophage; Cytokine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008677741,0.0001410775,0.00007163783,0.00006924758,0.00008259138,0.000217006,0.0001744478,0.0001652091,0.0009195843],"category_scores_gemma":[0.000121706,0.00008857912,0.00008961531,0.00004297268,0.0001544595,0.0001714103,0.000141239,0.0002494508,0.0001540628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002359436,"about_ca_system_score_gemma":0.00008717435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001291315,"about_ca_topic_score_gemma":0.0002789119,"domain_scores_codex":[0.9999472,0.00000654736,0.000003420658,0.00001550151,0.00001580517,0.00001142371],"domain_scores_gemma":[0.999943,0.0000169629,0.00001949724,0.000005448873,0.000007273105,0.00000775645],"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":[0.00002122123,0.00001243906,0.0000491153,0.00001312303,0.000001453407,0.00002448512,0.00001777265,0.0002946862,0.9969854,0.00107013,0.00006981464,0.001440428],"study_design_scores_gemma":[0.000008511299,0.00006216239,0.0001555656,0.000001702547,0.000001985268,0.00002795294,0.00000721636,0.003204948,0.9943514,0.0001845435,0.001990067,0.000003869744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661758,0.0004110274,0.02873914,0.0001772984,0.00009078786,0.00004142333,0.0001188459,0.0003055602,0.003940149],"genre_scores_gemma":[0.9903954,0.0001596742,0.006891467,0.00005161874,0.000007352019,0.00005813511,0.00003753384,0.00002503199,0.002373959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009195843,"threshold_uncertainty_score":0.003076315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007268076728737716,"score_gpt":0.2325056403614284,"score_spread":0.2252375636326907,"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."}}