{"id":"W3097228396","doi":"10.1016/j.ccell.2020.09.004","title":"Immunometabolic Interplay in the Tumor Microenvironment","year":2020,"lang":"en","type":"review","venue":"Cancer Cell","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":332,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Immune system; Tumor microenvironment; Stromal cell; Biology; Phenotype; Cellular metabolism; Cell metabolism; Computational biology; Tumor cells; Function (biology); Cell function; Cell; Cell biology; Metabolism; Cancer research; Immunology; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076734960707962,"score_gpt":0.2985215622032359,"score_spread":0.2777542125961563,"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."},"direct_labels":[],"classifier":{"requested":true,"available":true,"version":"metacan-v1-d91a1de5be90","frame_rows_covered":4299418,"decision_targets":["metaresearch","metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","randomized_trial","nonrandomized_trial","observational","systematic_review","meta_analysis","case_report","qualitative","simulation_or_modeling","bench_or_experimental","theoretical_or_conceptual","not_applicable"],"score_encoding":"uint16_le_65535","score_resolution":0.000015259021896696422,"interpretation":"Scores imitate each teacher on the enriched screening sample; they are not calibrated prevalence probabilities for the full frame.","warning":null},"prediction":{"classifier_version":"metacan-v1-d91a1de5be90","candidate_union":["not_applicable"],"consensus_intersection":[],"score_encoding":"uint16_le_65535","score_resolution":0.000015259021896696422,"scores":{"codex":{"metaresearch":0.000045777065690089265,"metaepi_narrow":0.00016784924086366064,"metaepi_broad":0.00024414435034714275,"bibliometrics":0.0002136263065537499,"sts":0.000015259021896696422,"scholarly_communication":0.000015259021896696422,"open_science":0.00012207217517357137,"research_integrity":0.00032043945983062486,"randomized_trial":0.000015259021896696422,"nonrandomized_trial":0.00007629510948348211,"observational":0.00010681315327687495,"systematic_review":0.004440375371938659,"meta_analysis":0.003143358510719463,"case_report":0.00006103608758678569,"qualitative":0.000045777065690089265,"simulation_or_modeling":0.000045777065690089265,"bench_or_experimental":0.0014496070801861601,"theoretical_or_conceptual":0.000015259021896696422,"not_applicable":0.0040588998245212485,"design_other":0.9632257572289616},"gemma":{"metaresearch":0.00019836728465705348,"metaepi_narrow":0.00006103608758678569,"metaepi_broad":0.00025940337224383917,"bibliometrics":0.000289921416037232,"sts":0.000015259021896696422,"scholarly_communication":0.000015259021896696422,"open_science":0.00006103608758678569,"research_integrity":0.0003509575036240177,"randomized_trial":0.000015259021896696422,"nonrandomized_trial":0.000015259021896696422,"observational":0.00006103608758678569,"systematic_review":0.022461280231937133,"meta_analysis":0.0007476920729381247,"case_report":0.000030518043793392844,"qualitative":0.00006103608758678569,"simulation_or_modeling":0,"bench_or_experimental":0.0017547875181200886,"theoretical_or_conceptual":0,"not_applicable":0.9993743801022354}},"interpretation":"Scores imitate each teacher on the enriched screening sample; they are not calibrated prevalence probabilities for the full frame."}}