{"id":"W4394220321","doi":"10.6084/m9.figshare.22605457","title":"Additional file 1 of Spatiotemporal evolution of the clear cell renal cell carcinoma microenvironment links intra-tumoral heterogeneity to immune escape","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Tumor microenvironment; Immune system; Tumour heterogeneity; Biology; Immune escape; Cell; Renal cell carcinoma; Clear cell renal cell carcinoma; Cancer research; Tumor heterogeneity; Immunology; Medicine; Pathology; Cancer; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001463527,0.001716222,0.001803734,0.00246051,0.0007926585,0.002538115,0.002265367,0.001912852,0.4387566],"category_scores_gemma":[0.01349829,0.0006793905,0.002056708,0.003247365,0.000418358,0.001280173,0.00142505,0.001441448,0.09981485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622683,"about_ca_system_score_gemma":0.002714858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119579,"about_ca_topic_score_gemma":0.02339409,"domain_scores_codex":[0.9990317,0.0001267987,0.0001456074,0.0003665198,0.0001411787,0.0001882353],"domain_scores_gemma":[0.9930624,0.004169161,0.0007175093,0.0008291397,0.000834845,0.0003869091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005733201,0.0001131792,0.01004708,0.00299632,0.0002538956,0.0000727707,0.00005268891,0.000889897,0.0002307918,0.0005060123,0.9785228,0.005741124],"study_design_scores_gemma":[0.006559283,0.0003327754,0.07403011,0.003012283,0.0007536512,0.0008578261,0.0003604488,0.003513909,0.001438549,0.008718483,0.900201,0.0002216276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001327086,0.00001673696,0.00004187439,0.00002778373,0.000008204282,0.00001153269,0.9995808,0.00005710667,0.0001232783],"genre_scores_gemma":[0.00242005,0.00005729542,0.0005793154,0.0001630802,0.0000225203,0.0003702717,0.9947841,0.0001145905,0.001488806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4387566,"threshold_uncertainty_score":0.8005456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664218720379906,"score_gpt":0.2240905978561511,"score_spread":0.207448410652352,"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."}}