{"id":"W4390839373","doi":"10.1007/s10585-023-10252-4","title":"Mapping the single cell spatial immune landscapes of the melanoma microenvironment","year":2024,"lang":"en","type":"review","venue":"Clinical & Experimental Metastasis","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Institut de Valorisation des Données; Canada Research Chairs; McGill University","keywords":"Melanoma; Surgical oncology; Hematology; Tumor microenvironment; Immune system; Medicine; Cancer research; Biology; Computational biology; Immunology; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004681467,0.0004756169,0.001129491,0.0000367731,0.0001201994,0.00004753807,0.0008557689,0.0003584204,0.0000698898],"category_scores_gemma":[0.00004049658,0.000250085,0.002033493,0.0001356999,0.0003420914,0.000002600892,0.0006008793,0.0004380983,0.00004789559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000393161,"about_ca_system_score_gemma":0.00009701883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003420021,"about_ca_topic_score_gemma":0.000008918829,"domain_scores_codex":[0.9970214,0.0005170832,0.001301177,0.0006348321,0.0002323916,0.0002930606],"domain_scores_gemma":[0.9984542,0.00009567763,0.0004591065,0.0008968356,0.00001607014,0.00007816144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009421034,0.002313662,0.00007534377,0.003753,0.002028889,0.00001279446,0.0002405017,0.000002432114,0.1826892,0.0000156272,0.002651648,0.8061227],"study_design_scores_gemma":[0.0002967601,0.00037088,0.00001332061,0.0008946102,0.0008554621,0.00001470156,0.0001360389,0.00000219951,0.1093983,0.0000034599,0.8877289,0.0002853523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01156787,0.985574,0.00005801553,0.0000453344,0.001588872,0.0006576793,0.0001768374,0.000009823456,0.0003215308],"genre_scores_gemma":[0.061041,0.9372526,0.0002280413,0.0001018496,0.0005859995,0.0000804745,0.0001537922,0.00008993711,0.0004662758],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8850773,"threshold_uncertainty_score":0.9999951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08181505691435978,"score_gpt":0.335319334725329,"score_spread":0.2535042778109692,"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."}}