{"id":"W4387875778","doi":"10.3389/fimmu.2023.1275890","title":"Delineating spatial cell-cell interactions in the solid tumour microenvironment through the lens of highly multiplexed imaging","year":2023,"lang":"en","type":"review","venue":"Frontiers in Immunology","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre","funders":"BC Cancer Foundation; Canadian Institutes of Health Research; Terry Fox Foundation; Lotte and John Hecht Memorial Foundation","keywords":"Tumor microenvironment; Stromal cell; Cell; Immune system; Biology; Reprogramming; Computational biology; Cancer research; Immunology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001020945,0.0006174233,0.0004088401,0.00159213,0.000295734,0.001478569,0.0006752705,0.0008341196,0.001318642],"category_scores_gemma":[0.0006967427,0.0004313171,0.0003345043,0.0008183772,0.000724085,0.001393208,0.001058269,0.00125237,0.000549999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009535335,"about_ca_system_score_gemma":0.0003844544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007353082,"about_ca_topic_score_gemma":0.001369248,"domain_scores_codex":[0.9994672,0.0001177342,0.00002579083,0.0001219287,0.0002004983,0.00006688471],"domain_scores_gemma":[0.9994537,0.0002595044,0.0001220948,0.00004791965,0.00007043216,0.0000462879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008668249,0.00004573213,0.001677511,0.0005207611,0.00004948997,0.0002287531,0.0001647667,0.002071453,0.9133086,0.006380166,0.001069696,0.07439633],"study_design_scores_gemma":[0.00001836997,0.0002469762,0.007256194,0.0001494608,0.00009473659,0.002091412,0.0003363494,0.04722621,0.9032643,0.005339456,0.03384809,0.0001283255],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1510272,0.04866042,0.7828332,0.00151042,0.0002705227,0.0002238422,0.0008413504,0.002058257,0.01257477],"genre_scores_gemma":[0.3175563,0.02723406,0.648429,0.0006514595,0.0002526345,0.0002630455,0.0003436057,0.0001851837,0.005084635],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00159213,"threshold_uncertainty_score":0.00691843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02959321151186738,"score_gpt":0.2815924149102264,"score_spread":0.251999203398359,"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."}}