{"id":"W4403584964","doi":"10.3390/cells13201739","title":"Contemporaneous Inflammatory, Angiogenic, Fibrogenic, and Angiostatic Cytokine Profiles of the Time-to-Tumor Development by Cancer Cells to Orchestrate Tumor Neovascularization, Progression, and Metastasis","year":2024,"lang":"en","type":"article","venue":"Cells","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Queen's University","funders":"Harvard Stem Cell Institute; Natural Sciences and Engineering Research Council of Canada; Queen's University; York University","keywords":"Proinflammatory cytokine; Angiogenesis; Metastasis; Cytokine; Tumor progression; Cancer research; Tumor necrosis factor alpha; Pancreatic cancer; Tumor microenvironment; Cancer; Immunology; Neovascularization; Medicine; Biology; Immune system; Inflammation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001901455,0.0003703433,0.0002894474,0.0004428392,0.0001433503,0.0004190503,0.00008093344,0.0001957254,0.001079751],"category_scores_gemma":[0.0001321094,0.0001152862,0.0002318473,0.0002810064,0.0002003154,0.0002859374,0.0001245233,0.000604141,0.0002513274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001848854,"about_ca_system_score_gemma":0.0002368057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001588124,"about_ca_topic_score_gemma":0.0004396872,"domain_scores_codex":[0.9997893,0.00002400093,0.00002035387,0.0000565887,0.00006099256,0.00004875744],"domain_scores_gemma":[0.9998197,0.00001866654,0.00007522408,0.00001726044,0.00003048893,0.00003871114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002423612,0.00004270393,0.002431798,0.00004116215,0.000006155758,0.00003136374,0.00002601343,0.00003625259,0.9952342,0.00003388442,0.0000250524,0.001848916],"study_design_scores_gemma":[0.00001370613,0.0007715629,0.06321161,0.00001427794,0.0000508014,0.0004151249,0.0001173674,0.0006697777,0.9322795,0.0000942206,0.002351819,0.00001025206],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876414,0.003862653,0.005855086,0.0001091985,0.00004176317,0.0000608525,0.001194172,0.00009321079,0.001141721],"genre_scores_gemma":[0.9908901,0.001922124,0.004099553,0.0001199725,0.00003357235,0.0001352695,0.0008370295,0.00001803502,0.001944255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001079751,"threshold_uncertainty_score":0.003612101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00731992171905156,"score_gpt":0.2441193090752838,"score_spread":0.2367993873562322,"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."}}