{"id":"W4318831792","doi":"10.1038/s41586-022-05672-3","title":"Single-cell spatial landscapes of the lung tumour immune microenvironment","year":2023,"lang":"en","type":"article","venue":"Nature","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":379,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; Innovation and Economic Development Trois Rivières; Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec; McGill University Health Centre; Université du Québec à Trois-Rivières; University of Toronto; McGill University","funders":"Canada Research Chairs; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; University of Toronto; Canadian Institutes of Health Research; McGill University Health Centre; McGill University","keywords":"Mass cytometry; Tumour heterogeneity; Context (archaeology); Immune system; Biology; Adenocarcinoma; Lung cancer; Tumor microenvironment; Cell; Pathology; Cancer; Medicine; Phenotype; Immunology; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007610009,0.0001102828,0.0001044422,0.00002135241,0.00005878411,0.000008977691,0.0002430268,0.0004908014,0.00001782641],"category_scores_gemma":[0.00001950571,0.00007968656,0.0001302063,0.00009371992,0.00003878952,0.000001334971,0.00009421443,0.0003953167,0.000007282304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009308045,"about_ca_system_score_gemma":0.00002062415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001998223,"about_ca_topic_score_gemma":0.0000314667,"domain_scores_codex":[0.9993432,0.00003170169,0.0001395447,0.0001856907,0.0001338944,0.0001659492],"domain_scores_gemma":[0.9996276,0.000008052611,0.00006305953,0.0002544675,0.00002044374,0.00002636237],"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":[0.00003815463,0.00006702725,0.005278667,0.00002787529,0.00001764813,0.000001379765,0.00004285832,0.00007092147,0.9897833,0.000004846952,0.004287958,0.0003793458],"study_design_scores_gemma":[0.0004311857,0.00006728624,0.01867785,0.00001559009,0.00001913946,0.000002757558,0.00002658921,0.0001142736,0.9564239,0.00001110996,0.0241105,0.00009983791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957261,0.002488878,0.00006450851,0.0003743161,0.0004794053,0.0001208267,0.00003557976,0.00001261058,0.0006977654],"genre_scores_gemma":[0.9981646,0.0001440756,0.0000645769,0.0002000578,0.0001847666,0.000003704351,0.00008951015,0.00001943806,0.001129266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03335944,"threshold_uncertainty_score":0.378551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004939997613611761,"score_gpt":0.1983078812116226,"score_spread":0.1933678835980108,"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."}}