{"id":"W4283066769","doi":"10.1002/cam4.4941","title":"Associating transcriptomics data with inflammatory markers to understand tumour microenvironment in hepatocellular carcinoma","year":2022,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Surgical Reconstruction and Microbiology Research Centre; Research Councils UK; Medical Research Council Canada; Imperial Experimental Cancer Medicine Centre; Department of Health and Social Care; National Institute for Health and Care Research; Horizon 2020 Framework Programme; UK Research and Innovation","keywords":"Gene signature; Hepatocellular carcinoma; Immunotherapy; Cancer; Microarray analysis techniques; Microarray; Biology; Computational biology; Medicine; Cancer research; Gene; Internal medicine; Gene expression; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005492312,0.0003162743,0.0005743963,0.001616604,0.0002874802,0.000599461,0.0002064278,0.0003509476,0.0008921436],"category_scores_gemma":[0.0008733718,0.00009483754,0.0005866692,0.001961871,0.0002695814,0.0002343028,0.0003297941,0.0002797753,0.000303686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003008188,"about_ca_system_score_gemma":0.0004269724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209184,"about_ca_topic_score_gemma":0.001846167,"domain_scores_codex":[0.9996265,0.00007605873,0.00003980716,0.0001109287,0.00007507504,0.0000715624],"domain_scores_gemma":[0.9993995,0.0002962295,0.0001254438,0.00003831628,0.0001049251,0.00003551777],"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":[0.001562236,0.0004146477,0.2023174,0.001144999,0.0003421251,0.000341662,0.0002614181,0.01487887,0.6972854,0.0004555317,0.001575679,0.07942012],"study_design_scores_gemma":[0.00003567068,0.0004724847,0.8102495,0.00008118295,0.0003556162,0.0006331094,0.0006406752,0.07588348,0.1050625,0.001603251,0.004895032,0.00008742389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603609,0.001997273,0.02658544,0.0001950138,0.00002519079,0.00009841398,0.009589149,0.0002403499,0.0009082117],"genre_scores_gemma":[0.9560329,0.0006483512,0.03005688,0.00006484454,0.00003302158,0.000242161,0.01224134,0.00003034054,0.0006502411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001616604,"threshold_uncertainty_score":0.002984464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03900785756131706,"score_gpt":0.2637758880212458,"score_spread":0.2247680304599287,"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."}}