{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000279858,0.0002189841,0.0003235092,0.0001047015,0.000082836,0.00005685038,0.0001004511,0.00004255302,0.0001830123],"category_scores_gemma":[0.00001607722,0.0001447227,0.0001011867,0.0003946995,0.0001139162,0.00004745721,0.00007263851,0.0000762749,0.00002460065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006734804,"about_ca_system_score_gemma":0.0003935399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003971224,"about_ca_topic_score_gemma":0.00001080459,"domain_scores_codex":[0.9986697,0.00006047383,0.0004057405,0.0003572538,0.0002771793,0.0002295987],"domain_scores_gemma":[0.9993464,0.00005488914,0.00009113521,0.000234691,0.0001020652,0.0001708548],"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":[0.0003972253,0.00004380571,0.0006250396,0.0007134103,0.0005273906,0.00004404108,0.001194925,0.000008082215,0.9700911,0.000003345639,0.01363361,0.01271802],"study_design_scores_gemma":[0.0006538644,0.0001544665,0.001378442,0.0007667028,0.0001969816,0.00005409616,0.00007228019,0.00007871729,0.9052131,0.000003723125,0.09124119,0.0001864765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824597,0.01420713,0.00006863049,0.001115281,0.0001263202,0.00175899,0.0001580305,0.00005113112,0.00005482426],"genre_scores_gemma":[0.9913877,0.0002575357,0.003189653,0.00124356,0.00007592872,0.0003050498,0.0000443716,0.00008969534,0.003406536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07760758,"threshold_uncertainty_score":0.5901619,"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."}}