{"id":"W4388625981","doi":"10.1038/s41556-023-01273-y","title":"Microglia promote anti-tumour immunity and suppress breast cancer brain metastasis","year":2023,"lang":"en","type":"article","venue":"Nature Cell Biology","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Center for Complex Biological Systems, University of California, Irvine; Chao Family Comprehensive Cancer Center; National Institute of Biomedical Imaging and Bioengineering; National Institute of Neurological Disorders and Stroke; National Institute of General Medical Sciences; Canadian Institutes of Health Research; University of California, Irvine; University of California, Davis; National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; Division of Intramural Research, National Institute of Allergy and Infectious Diseases","keywords":"Microglia; Metastasis; Immunity; Brain metastasis; Breast cancer; Cancer research; Biology; Cancer; Immunology; Neuroscience; Medicine; Immune system; Inflammation; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002211178,0.0001845578,0.0002025155,0.0001768128,0.000237275,0.00005259489,0.0002604112,0.0002440043,0.000187591],"category_scores_gemma":[0.0001711114,0.0001564706,0.00005182032,0.0004581298,0.0001031536,0.00009999684,0.0001643533,0.0005782288,0.0001012971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001048011,"about_ca_system_score_gemma":0.00003485051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009681384,"about_ca_topic_score_gemma":0.00001111144,"domain_scores_codex":[0.9984185,0.0004256566,0.0001982952,0.0005224562,0.0001101971,0.0003249195],"domain_scores_gemma":[0.9993105,0.0001983854,0.000103801,0.0002463869,0.00004860077,0.00009232685],"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":[0.0000172032,0.00002101394,0.00007713662,0.00001918607,0.000002521773,0.00002359802,0.0000586563,0.0000110511,0.9948399,0.00126903,0.002252109,0.00140858],"study_design_scores_gemma":[0.0003521552,0.0000404703,0.001548423,0.000003892223,0.00000877257,0.00005936257,0.0000103991,0.0004845342,0.9807487,0.000293045,0.01629536,0.0001549559],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907947,0.0001203409,0.00001764925,0.007052953,0.0008606474,0.0002631477,0.0004035131,0.0002389559,0.0002480558],"genre_scores_gemma":[0.9946867,0.0004095847,0.00006289945,0.003701593,0.00009812562,0.00002245928,0.0000337383,0.00002397536,0.0009609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409129,"threshold_uncertainty_score":0.6380687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01832672076716491,"score_gpt":0.2870931334395943,"score_spread":0.2687664126724294,"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."}}